Location: Canada; Remote USA
Workplace: remote
ABOUT YOU
You're a hands-on mobile engineer with 4+ years of experience, primarily in React Native across iOS and Android, who's ready to step into (or continue in) a tech lead role. You've shipped commercial apps end-to-end, and you care as much about clean architecture and solid CI/CD practices as you do about mentoring the people around you.
You communicate clearly across distributed, cross-functional teams and know how to align technical decisions with business goals. Experience with gaming ecosystems or virtual currency platforms is a plus - a passion for building great mobile products is a must.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Lead the mobile development, providing technical guidance, mentorship, and support
Define and implement best practices for mobile development processes, code review, test strategies and CI/CD process standard.
Drive scalable and maintainable application architecture from scratch.
Collaborate with product and design teams to define technical solutions that meet business goals.
Ensure seamless integration of mini-apps and virtual currency systems with the Xsolla App ecosystem.
Work closely with global cross-functional teams, including developers, QA engineers, and project managers.
Partner with stakeholders to align technical strategies with business objectives.
Facilitate effective communication across globally distributed teams.
Oversee the entire development lifecycle, ensuring on-time delivery of high-quality applications.
Qualifications & Skills:
4+ years of experience in mobile with a strong focus on IOS and Android platforms.
Proven track record of delivering commercial mobile s from concept to launch.
Experience leading and mentoring development teams.
Proficiency in mobile frameworks and programming languages - React Native primarily.
Strong understanding mobile architecture platforms.
Experience with third-party integrations and APIs.
Excellent leadership and interpersonal skills.
Strong problem-solving abilities and a results-driven approach.
Effective communication skills, both written and verbal.
Familiarity with gaming ecosystems and visual currency platforms is a plus.
Bachelor's degree in Computer Science, Engineering or a related field (or equivalent experience)
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Senior Software Engineer, we will conduct a background check that may include the following.
Criminal history check.
Employment verification.
Education verification.
Relevance to job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/ managing budgets /accessing funds
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com
The listed range is specific to Montreal, Canada, USA and varies based on factors such as location and experience.
Location: Canada; Remote USA
Workplace: remote
ABOUT YOU
You're a senior mobile engineer with 6+ years of experience building native iOS and Android apps using Swift, Kotlin, and/or React Native, with a proven track record of shipping commercial products end-to-end. You lead by example setting engineering standards, mentoring developers, and driving architecture decisions while staying close to the code.
You thrive in cross-functional, globally distributed teams and know how to translate business goals into solid technical direction. Familiarity with gaming ecosystems or virtual currency platforms is a bonus, what's essential is your ability to own delivery and elevate the team around you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Lead the mobile development, providing technical guidance, mentorship, and support
Define and implement best practices for mobile development processes, code review, test strategies and CI/CD process standard.
Drive scalable and maintainable application architecture from scratch.
Collaborate with product and design teams to define technical solutions that meet business goals.
Ensure seamless integration of mini-apps and virtual currency systems with the Xsolla App ecosystem.
Work closely with global cross-functional teams, including developers, QA engineers, and project managers.
Partner with stakeholders to align technical strategies with business objectives.
Facilitate effective communication across globally distributed teams.
Oversee the entire development lifecycle, ensuring on-time delivery of high-quality applications.
Qualifications & Skills:
6+ years of experience in mobile development with a strong focus on IOS and Android platforms.
Proven track record of delivering commercial mobile applications from concept to launch.
Experience leading and mentoring development teams.
Proficiency in mobile development frameworks and programming languages (Swift, Kotlin, Go, React Native).
Strong understanding mobile architecture platforms.
Experience with third-party integrations and APIs.
Excellent leadership and interpersonal skills.
Strong problem-solving abilities and a results-driven approach.
Effective communication skills, both written and verbal.
Familiarity with gaming ecosystems and visual currency platforms is a plus.
Bachelor's degree in Computer Science, Engineering or a related field (or equivalent experience)
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Lead Software Engineer (Mobile Native), we will conduct a background check that may include the following.
Criminal history check.
Employment verification.
Education verification.
Relevance to job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/ managing budgets /accessing funds
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com
The listed range is specific to Montreal, Canada, USA and varies based on factors such as location and experience.
Location: Remote
Workplace: remote
ABOUT YOU
Xsolla is seeking a Principal Engineer with deep expertise in Identity and Golang backend development to lead the evolution of our authentication and authorization stack — enabling developers and players to connect safely and effortlessly across the Xsolla ecosystem.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Architect and lead the design of Xsolla’s next-generation identity platform, supporting authentication, authorization, single sign-on (SSO), and account federation across internal and external services.
Develop high-performance Golang microservices that manage user identity, access tokens, and permission enforcement at global scale.
Collaborate closely with security, DevOps, and platform engineering teams to embed Zero Trust principles and standardize access governance across services.
Integrate modern IAM standards and protocols (OAuth2, OIDC, SCIM) to enhance developer experience and partner integrations.
Mentor and coach engineering teams on secure service design, identity best practices, and cross-service communication patterns.
Partner with product teams to ensure that identity-related features — such as player login, entitlement management, and account linking — are scalable, compliant, and user-friendly.
Define and enforce API and data security standards, supporting compliance initiatives.
Evaluate and integrate third-party identity frameworks or open-source solutions (e.g., Keycloak, Auth0, Ory, ForgeRock) as part of Xsolla’s hybrid identity strategy.
Qualifications & Skills:
10+ years in backend or systems engineering, including 5+ years designing and implementing authentication and authorization services.
Expert-level skills in Golang, with experience building and scaling distributed, event-driven microservices.
Proven track record with identity federation, token management, and access control systems.
In-depth understanding of authentication and authorization standards (OAuth 2.0, OIDC, JWT, SCIM).
Solid grasp of security principles, encryption, key management, and secrets management systems (e.g., HashiCorp Vault, AWS KMS).
Experience building high-availability systems in Kubernetes-based environments using AWS, or GCP.
Strong architectural vision with the ability to influence cross-team design and technology direction.
Excellent communication and collaboration skills across distributed teams.
Nice to Have:
Experience building or contributing to identity systems for gaming or SaaS ecosystems.
Familiarity with multi-tenant architectures, ReBAC/ABAC models, and policy-as-code (OPA, AuthZ frameworks).
Background in security engineering, DevSecOps, or compliance automation.
Contributions to open-source Golang.
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Principal Engineer, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Handling sensitive financial information/managing budgets/accessing funds
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
The listed range is specific to Los Angeles, CA, and varies based on factors such as location and experience.
Location: Remote-EU
Workplace: remote
Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.
We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies.
Metabase is looking for a customer-focused, highly technical Success Engineer to join our growing global team. We are looking for someone who loves data, enjoys helping others, and is excited to work for a startup to help our customers get the most out of Metabase.
Our customers are software engineers, data engineers, and data analysts, and they appreciate getting help and advice from experts just like them.
What you’ll do
Talk to our users to understand their goals and challenges
Help customers design and optimize their Metabase implementation
Guide customers how to get data from all the various places it lives, transform it into useful shapes, and convert their questions into actual queries that can be executed.
Solve complex problems and troubleshoot customer issues
Collaborate with our technical communicators to create educational materials for our customers
Serve as the voice of the customer to our product and engineering teams and help drive product development
About you
Enjoy helping people and solving their problems
Strong technical background with 3+ years of experience writing production code, administering systems, and/or managing databases
Strong database and SQL skills
Strong technical expertise in at least two of the following areas, including the ability to investigate and diagnose complex technical issues:
Designing, developing, and troubleshooting web applications
Managing and troubleshooting infrastructure (Docker, AWS, GCP, or similar)
Managing, troubleshooting, and optimizing databases
Nice to have
Experience with Metabase or other BI tools
Experience working for an open source product
Fluency in multiple languages (this is helpful as our users are worldwide)
Why join us?
We operate as a fully remote, async team. Work where and when you’re most productive - we trust you to get your work done. Meetings are rare, efficient, and your time is respected.
Every week brings new complex challenges and opportunities to learn. If you thrive on solving complex problems and enjoy continuous learning, you'll find this role exciting and engaging.
You’ll contribute to a tool that empowers users to unlock insights in their data without relying on a data team.
Here’s some quotes from real customers about working with Success Engineering:
“The Metabase Success Engineering team is amazing! Outlier in the industry, IMO”
“Tony really took the time to understand our issue and explain things with the perfect level of detail. Just brilliant”
“Incredible help as always from Luis. Not joking, he’s the best contact we have out of all of the vendors I’ve communicated with. Understanding, courteous and resourceful!”
“LeAnn clearly went above and beyond on a bit of an esoteric issue I ran into while casting dates and trying to join questions. We confirmed it was a bug, and I'm hopeful the team will respond quickly to this issue, but I have an exceptionally good interaction with LeAnn and really appreciated her expertise with the product.”
“It was awesome: Zoltan suggested a solution I hadn't asked for, or had even expected. And he quickly fixed the issue for me.”
We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.
For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)
Location: GB - United Kingdom
QA Manager
Scopely is looking for a QA Manager to lead Automation & Services QA for an ambitious, cross-platform Strategy/MMO title on PC and Mobile.
You will lead a small Automation team using
Nunu AI as its foundation
, alongside Services QA, covering backend testing, environment setup, analytics, accounts and payments. This internal role owns QA across the
Automation, Server Scalability, Build and Release, Web Admin Tools, and Cloud Operations Pods
, partnering closely with Engineering, Production and the wider QA organisation.
What You Will Do
QA Leadership & Pod Ownership
Lead and develop QA teams, aligning their work with project goals, quality standards and development priorities.
Own QA planning and delivery across your pods, and communicate quality risks and trade-offs to stakeholders.
Automation Strategy & Management
Lead the automation strategy, roadmap and backlog, prioritizing by risk and ROI so Nunu AI delivers sustainable, high-value coverage.
Integrate automation into build and release pipelines with Engineering, and keep manual testing where automation doesn’t fit.
Services QA Management
Own the QA approach for backend functionality, integrations, scalability and resilience, working with Engineering to make services testable and quality measurable.
Cover accounts, authentication, payments, analytics pipelines and admin tools, plus load and disaster recovery testing.
Environment & Release Readiness
Ensure Services QA has reliable environments, including the Beta Environment, so backend changes are validated before deployment.
Own release process testing and give go/no-go recommendations backed by clear evidence and risks.
What We’re Looking For
6+ years of experience in Quality Assurance, software development or a related field.
3+ years of leadership experience managing QA teams or technical testing functions, and 2+ years leading testing initiatives across development and release cycles.
Proven experience managing test automation, including strategy, backlog ownership, maintenance, delivery and measurable return on investment.
Strong understanding of backend and API testing, service integrations, data validation and the risks associated with accounts, analytics and payments.
Experience overseeing performance, load or scalability testing, and working with Engineering on service reliability and recovery testing.
Working knowledge of test environments, cloud-hosted services, build and release pipelines, and deployment validation.
Strong grounding in risk-based testing, defect management and QA tooling such as Jira, test management systems and reporting dashboards.
Technical judgement to review testing and automation approaches, challenge assumptions and communicate effectively with engineers.
Demonstrated ability to manage people, capacity, priorities and costs, with strong communication, stakeholder management and problem-solving skills.
Experience supporting PC and Mobile releases and live-operation workflows, including patch validation, incident response and ongoing quality monitoring.
Experience with AI-assisted test automation, particularly
Nunu AI
, would be an advantage.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Arizona
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer
:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
This role will be based in
Queen Creek, AZ
and act as a Technical and Operational Liaison between LGEUS PRI Organization and PRI's customer companies (ex: LG Energy Solution), LGEUS HQ and LGE PRI HQ at the US PRI's project site. Manage information flow for escalated service cases to proper LGEUS & HQ personnel to facilitate timely solutions and countermeasures in support of PRI's customer companies. Responsible for managing sensitive proprietary information including software, tools and technical documentation from the factory for dissemination to PRI's customer companies. Facilitate knowledge transfer sessions, create technical documents and provide relevant training. Attend regularly scheduled factory visits to manage specific matters face to face with appropriate personnel. Manage and attend factory site visits for PRI's customer companies jobsites with applicable HQ personnel. Support of PRI's customer companies via phone, email onsite visits to bring solutions to challenging site issues. Testing and verification of system solutions for all LG PRI equipment and controls, provide documentation and knowledge transfer of important discoveries of such testing. Aftermarket process development, implementation and improvement utilizing metrics to achieve efficiency and results improvements across internal and external channels. Manages day to day field operations of all Aftermarket Field Technical Specialists, provides expert level product knowledge, problem resolution and technical expertise and is responsible for training and mentoring of all team members. Coordinates all LGEUS & LGE PRI HQ technical knowledge sharing to facilitate timely resolution of field related issues.
Operation and management of the PRI's project site, including equipment set-up and production, customer service, safety management, and general affairs.
Manages day to day activities of PRI's customer companies.
Utilizes advanced metrics to analyze, develop and implement process development.
Manages expert level LGEUS/HQ technical knowledge share in resolving outstanding field issues and implementing field processes and procedures.
Responsible for professional technical development of all field technical specialists.
Provide guidance and advice as a technical subject matter expert to ensure Field Service issues are brought from inception to resolution.
Serves as technical liaison between LGEUS PRI Organization and PRI's customer companies.
Manage information flow and knowledge transfer sessions for PRI's customer companies.
Able to understand, articulate, communicate and respond to detailed technical issues in a timely and concise manner.
Maintain current functional and technical knowledge of LGEUS PRI Organization supply battery manufacturing machines and parts for electric vehicles.
Provide expert level Product Support to internal and external customers by researching and providing solutions to challenging field service issues.
Manages Installation & Service Manual Validation Process– Verification of manuals via testing in Quality/Training Lab to improve literature for internal and external technical specialists.
Coordinate with Technical Writing team to insure PRI's customer companies are complete, consistent, concise and unambiguous.
Accompany PRI's customer companies factory engineers in field visits to resolve escalated field technical issues.
Perform testing and evaluates equipment and controls solutions in LGEUS PRI Organization and document findings in distributable format for internal and external customers.
Perform EV battery machine set-up with LGEUS PRI & technical team engineers and partners.
Communicate directly with PRI's customer companies' production department to coordinate preventive maintenance and troubleshooting in the production area.
Daily Production Data Analysis and Report Preparation.
Preparation of documents related to CS operation and facility maintenance after facility AT, and initial response in case of issue.
PRIX & PRIX-US, manages the personnel of partner companies and shares equipment status and issues.
Maintain records of all preventive maintenance and troubleshooting tasks.
Qualifications:
Bachelors Degree with 5+ years experience in the automation field or in a technical support role or in site management including operation and safety.
Bilingual in English and Korean.
Excellent communication skills and interpersonal skills to interact effectively with diverse client
group.
Ability to troubleshoot in depth service issues via phone and onsite.
Ability to read, analyze and interpret technical business periodicals, professional journals and
technical procedures.
Ability to write reports and business correspondence.
Ability to read and edit technical drawings/prints.
Ability to effectively present information and respond to questions from management, clients and
customers.
Ability to work in a technically dominated environment: engineering, contracting and construction
trades and able to absorb and commit technical information to knowledge quickly.
Ability to anticipate and solve practical problems and resolve issues.
Self-starter with the ability to work both independently and within a team.
Ability to effectively communicate ideas and properly describe problems and solutions.
Ability to effectively handle multiple tasks.
Well-developed planning, organization, analytical, and decision making skills.
Proficient computer skills, such as Excel and PowerPoint.
Ability to produce clear, timely and concise documentation and have well developed problem
solving skills.
#LI-DR1
Recruiting Range
$90,000
—
$120,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Washington, DC
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer
:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
As a member of LG’s Government Affairs team, the Policy Analyst will assist with the implementation of LG’s legislative and regulatory agenda. The Policy Analyst will support LG’s advocacy initiatives at the local, state, and federal levels to enhance LG’s policy priorities. This position may require registration as a federal lobbyist.
Work cross-functionally to assist in the development of a legislative and regulatory policy agenda that will foster an environment for business growth and the LG Way.
Identify business opportunities and risks stemming from pending legislative, regulatory, and related initiatives at the federal, state, and local levels.
Contribute to the development and execution of advocacy strategies on key policy matters.
Engage with trade associations and consultants to apprise business leaders of public policy developments relevant to LG.
Assist in drafting policy-related briefing materials, including memos and PowerPoint presentations.
Own and drive priorities within his or her portfolio.
Represent LG at industry events as necessary.
Complete other duties as assigned.
Qualifications:
Bachelor’s degree required.
Minimum of 3 years of Capitol Hill, executive branch, or previous government relations experience (Trade Association, Corporate, or Non-profit).
Must be able to speak, read, and write fluently in English and Korean.
Strong interpersonal, communication and writing skills.
A deep understanding of the legislative and political process with experience in energy, trade, tax and other relevant issue areas.
Experience working with trade associations, industry groups, and coalitions.
Excel and PowerPoint skills required.
Excellent writing capability (i.e. briefing documents, reports, policy analysis).
#LI-DR1
Recruiting Range
$70,000
—
$90,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale.
As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are.
Key responsibilities
Build, own, and improve the core RL training system that serves Anthropic's production and research runs
Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it
Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic
Implement new training methods as stable, fast, well-tested code
Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking
Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing
Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale
Communicate results clearly, in writing and in discussion
Minimum qualifications
Proficiency in Python and experience working in, debugging, and improving a large ML codebase
Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it
Experience with at least one modern ML framework (JAX, PyTorch, or similar)
Ability to design controlled experiments and reach conclusions you and others can trust
Ability to balance research exploration with engineering implementation
Strong written and verbal communication skills
Care about the societal impacts of your work and are committed to developing safe and beneficial systems
Preferred qualifications
Experience with reinforcement learning for large language models, in research, production, or both
Experience studying training at scale: scaling behavior, training dynamics, or method development on large models
Experience with large-scale distributed training systems
Familiarity with LLM architectures and training methodologies
Experience working close to a frontier training run
Experience profiling and optimizing the performance of ML workloads
Experience with RL environments, evaluations, or sandboxed code execution
Experience with Rust or C++
Enjoy pair programming (we love to pair!)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.
We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential.
Responsibilities:
Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
Build abuse detection mechanisms and infrastructure
Surface abuse patterns to our research teams to harden models at the training stage
Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale
You may be a good fit if you:
Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience
Proficiency in at least one programming language such as Python, Java, etc.
Ability to work across the stack
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also:
8+ years of experience in a software engineering position
Have experience with integrity, spam, fraud, or abuse detection and mitigation
Have experience building trust and safety detection mechanisms and intervention for AI/ML systems
Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
Have worked closely with operational teams to build custom internal tooling
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Montreal; Canada; Baku
Workplace: remote
ABOUT YOU
We are looking for a strategic and hands-on Software Development Director to lead our global software engineering function. You will drive the execution of high-impact technical initiatives and oversee multiple development teams delivering scalable, secure, and innovative products that serve millions of users worldwide.
The ideal candidate is an inspiring leader with deep technical acumen and a proven track record of managing distributed engineering teams. You understand how to balance speed with quality, coach engineering leaders, and foster a culture of accountability, innovation, and excellence.
If you're passionate about driving large-scale software development in a dynamic, product-led environment, and want to shape the future of a growing technology company, we’d love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
Define and execute the engineering strategy in alignment with company objectives. Provide architectural and organizational guidance to ensure long-term scalability and success.
Lead, mentor, and develop multiple engineering teams, including team leads and senior developers. Establish clear goals and create growth opportunities across a global, distributed team.
Ensure high-quality, timely delivery of product and platform initiatives. Continuously optimize workflows, development methodologies, and technical decision-making.
Guide the evolution of system architecture, ensuring scalability, performance, and maintainability. Champion the adoption of modern technologies and development practices.
Partner closely with Product, QA, DevOps, and executive stakeholders to align priorities, define technical requirements, and maintain a shared roadmap.
Identify and mitigate risks across the development lifecycle. Promote best practices in observability, security, testing, and release management.
Foster a high-performance culture grounded in transparency, continuous improvement, and a shared commitment to quality and innovation.
Qualifications & Skills:
10+ years of experience in software development, including 5+ years in engineering leadership roles.
Proven success leading large-scale, cross-functional engineering teams in complex, high-growth environments.
Strong expertise in modern architectures, cloud infrastructure (AWS, GCP, or Azure), and microservices.
Deep understanding of Agile development methodologies, CI/CD practices, and engineering metrics.
Experience managing distributed teams and scaling organizations across multiple geographies.
Strong communication and stakeholder management skills, capable of interfacing with technical and non-technical leaders alike.
Sharp decision-making and problem-solving ability in high-stakes environments.
Fluent in English (written and verbal).
Nice to Have:
Experience in the gaming, fintech, or platform-as-a-service industries.
Familiarity with payments infrastructure, user-facing APIs, or developer tools.
Master's degree in Computer Science, Engineering, or related field.
Certifications in cloud technologies, Agile practices, or technical leadership.
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Software Development Director, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
Location: New York City, NY; New York City, NY | Seattle, WA; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.
Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year.
We may also put up separate, team-specific
job postings
. In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings!
You may be a good fit if you:
Have significant software engineering experience
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Enjoy pair programming (we love to pair!)
Want to learn more about machine learning research
Care about the societal impacts of your work
Strong candidates may also have experience with:
High performance, large-scale ML systems
GPUs, Kubernetes, Pytorch, or OS internals
Language modeling with transformers
Reinforcement learning
Large-scale ETL
Representative projects:
Optimizing the throughput of a new attention mechanism
Comparing the compute efficiency of two Transformer variants
Making a Wikipedia dataset in a format models can easily consume
Scaling a distributed training job to thousands of GPUs
Writing a design doc for fault tolerance strategies
Creating an interactive visualization of attention between tokens in a language model
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.
Responsibilities
Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on
Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts
Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks
Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse
You may be a good fit if you
Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry
Have proficiency in Python and experience building ML systems
Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems
Are worried about misuse risks of AI systems, and want to work to mitigate them
Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
Strong candidates may also have experience with
Language modeling and transformers
Building classifiers, anomaly detection systems, or behavioral ML
Adversarial machine learning or red-teaming
Interpretability or probes
Reinforcement learning
High-performance, large-scale ML systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Los Angeles, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As a Software Engineer, you’ll work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.
As a
Principal Software Engineer
on the
League of Legends Quality Team
, you will define and drive the technical vision for our core automation frameworks, ensuring the highest standards of quality across the League of Legends ecosystem. Your work will empower engineers across multiple initiatives—ranging from gameplay mechanics to skin development—by providing reliable, scalable frameworks that support efficient and robust testing practices.
In this role, you'll report directly to the Engineering Manager and play a key leadership role in cross-team collaboration. You’ll work closely with engineers and QA across Riot to align on quality frameworks and workflows, elevate the developer experience, and improve the overall quality of our products.
We primarily use C++ for game and tooling logic, and Python to drive our test automation and validation systems.
Responsibilities:
Collaboration with diverse teams to ensure features accomplish expectations from multiple dimensions (code quality, extensibility, modularity, scalability, security, operational concerns, and industry standards/trends)
Work and align with different partners that span across multiple teams to ensure we're delivering awesome features to excite them
Setting the tone for, contributing to, and defining technical discussions/designs that your team is accountable for
Mentorship. You help Rioters develop the tools and creative atmosphere to shine, but ultimately hold them accountable for making smart calls and delivering player value
Participate in the team's support rotation
Required Qualifications:
8+ years of deep hands-on experiences with compiled programming languages (C/C++, Java, Go, or C#)
3+ years building and maintaining automated tests for games, web, mobile, backend services, or desktop applications (scope depending on role level).
Experience with C/C++ that spans various use-cases and platforms.
Have been responsible for driving value through leading the development of organization-sized efforts (1-year+ scope), including requirements gathering, planning, testing, and release or deployment
Championed software development best practices within your organization that includes design/code reviews, coding standards, source control management, testing, delivery performance, scalability, and maintainability
You have a strong history of mentoring others in both soft and hard skills
Desired Qualifications:
Leveraged machine learning, AI, and/or functional testing techniques to enhance automated testing workflows, enabling smarter test case prioritization, anomaly detection, and adaptive regression coverage across complex game systems.
2+ years experience utilizing computer vision in support of automation tests
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems.
Responsibilities:
Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent
Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications
Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process
Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams
Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates
Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends
You may be a good fit if you:
Have 5+ years of experience in full life cycle recruiting supporting technical research teams
Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations
Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies
Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities
Possess strong technical aptitude with the ability to understand and evaluate technical qualifications
Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research
Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy
Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment
Strong candidates may also:
Bring a deep interest in AI safety research
Have experience partnering with researchers and hiring talent that work on GenAI and LLMs
Have experience with academic recruitment and research communities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$175,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in London.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£260,000
—
£630,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.
This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.
Responsibilities:
Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
Add new capabilities to the training codebase, such as long context support or novel architectures
Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned
You May Be a Good Fit If You:
Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
Excel at debugging complex, ambiguous problems across multiple layers of the stack
Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
Are passionate about the work itself and want to refine your craft as a research engineer
Care about the societal impacts of AI and responsible scaling
Strong Candidates May Also Have:
Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
Published research on model training, scaling laws, or ML systems
Experience with production ML systems, observability tools, or evaluation infrastructure
Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence
What Makes This Role Unique:
This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.
However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.
We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.
Location:
This role requires working in-office 5 days per week in San Francisco.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations |
Austin, TX | New York, NY | San Francisco, CA
About the Role
Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.
R2 is Cloudflare's object storage platform, offering developers durable, reliable storage that integrates seamlessly with Cloudflare's global network and Developer Platform. The R2 Metadata team owns the metadata layer that underpins every R2 operation, every object put, get, list, and delete flows through the systems we build and operate.
R2 is growing rapidly, and the metadata layer must evolve to keep pace. The team is responsible for designing and operating the metadata systems that track every object in R2, building and shipping developer-facing features, and ensuring the reliability and performance of these systems at global scale.
You'll be joining a team that operates at the intersection of distributed databases, large scale storage infrastructure, and edge computing; building systems that need to be correct, fast, and reliable.
Responsibilities
Design and implement features in a metadata system, backed by a distributed SQL DB, that serves every R2 API operation, ensuring correctness, performance, and compatibility with the S3 API surface.
Build and operate production services on Cloudflare Workers and Kubernetes that handle high throughput metadata operations with strong consistency and durability guarantees.
Own the schema, data model, and query patterns for a metadata layer managing billions of objects across multiple distributed database clusters.
Own projects end to end; from design docs and schema changes through implementation, testing, deployment, and production monitoring.
Participate in oncall rotations, drive incident resolution, and write postmortems that improve reliability.
Use AI tools extensively to accelerate development, debugging, and operational tasks. We expect engineers to leverage AI as a core part of their workflow.
Collaborate across teams (storage infrastructure, networking, other platform teams) to coordinate capacity planning, API contracts, and cross cutting initiatives.
Desirable Skills, Knowledge, and Experience
Strong programming skills in TypeScript, Go, or similar languages.
Experience with distributed databases; schema design, query optimization, indexing strategies, and understanding consistency/performance tradeoffs at scale.
Experience building or operating large scale distributed systems with strong reliability requirements.
Familiarity with cloud infrastructure concepts such as object storage, edge computing, or service oriented architectures.
Understanding of reliability and observability practices: monitoring, alerting, performance tuning, and incident response.
Strong written and verbal communication skills; ability to explain technical decisions clearly and coordinate across teams.
Comfortable working with AI coding tools as part of a daily development workflow.
Experience with Cloudflare Workers, Durable Objects, or edge computing platforms is a strong plus.
Compensation
Compensation may be adjusted depending on work location.
For Bay Area based hires: Estimated annual salary of $194,000 - $266,000
For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Rhode Island
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer
:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
The Assistant General Counsel will provide general legal support for the Pro Builder business of LG Electronics USA (LGEUS) which sells and installs home appliances and other products in new home and other residential construction projects. See
https://www.lg.com/us/business/builder
. The position will further serve to ensure appropriate controls are in place to mitigate legal risks and provide business legal support for the Pro Builder business.
Draft, review, and support negotiation of various types of complex sales, installation, construction, services, and other agreements, including agreements with home builders, distributors, vendors, and other parties related to the Pro Builder business.
Advise on antitrust and other legal issues associated with distribution of products and services, online sales tools, and other Pro Builder operations.
Review and advise on proposed external communications including marketing materials, press releases, external presentations, white papers, remarks, and other materials for Pro Builder.
Work with risk management staff on insurance coverage obligations.
Advise on licensing and other regulatory requirements for the Pro Builder business.
Manage and/or support pre-litigation and litigation disputes, government administrative agency actions, or subpoenas.
Provides detailed reporting to the involved parties. When necessary, manage outside law firms.
Generally support LGEUS’ Home Appliance and B2B business teams in the U.S. as needed.
Qualifications
JD degree, plus at least 5-7 years’ relevant experience.
Experience negotiating construction and/or supply agreements with residential builders or similar parties.
Strong execution and project management skills with ability to organize stakeholders from across a global organization on cross-functional projects (e.g., tax, credit, insurance, etc.).
Negotiation and construction industry experience in general.
In-house legal experience preferred.
Advanced organizational skills and the ability to simultaneously manage multiple projects with aggressive time lines.
Ability to work independently and with accountability within a multinational corporate group.
Limited travel (10%) sometimes required.
Applicable Bar license or ability to promptly obtain in-house counsel license.
Recruiting Range
$160,000
—
$210,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
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УдалённоleadCanada; Remote USA
УдалённоГеография найма не уточнена
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