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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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE  We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO  - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals WHAT YOU’LL NEED - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Dhahran, Saudi Arabia Eram Talent is seeking an experienced Rig Electrician to join our team. In this critical role, you will be responsible for overseeing the electrical systems on drilling rigs, ensuring the safety and efficiency of all electrical operations. You will conduct regular inspections, perform maintenance, and troubleshoot electrical issues to minimize downtime and maintain productivity. Your expertise in both onshore and offshore operations will be invaluable as you work in a fast-paced environment that prioritizes safety and compliance with industry regulations. If you are passionate about electrical systems and seeking an opportunity to contribute to exciting projects in the oil and gas sector, we encourage you to apply. Responsibilities Install, maintain, and repair electrical systems and equipment on drilling rigs. Troubleshoot and diagnose electrical faults and implement repairs as needed. Perform routine inspections and maintenance on electrical panels, generators, and other related equipment. Ensure compliance with safety regulations and electrical codes. Work closely with the rig crew to maintain uninterrupted electrical operations. Document work performed and maintain accurate maintenance records. Assist in training and mentoring junior electricians and other crew members on electrical safety practices. Requirements Minimum Qualifications: a. High School Diploma or such equivalent acceptable to SAUDI ARAMCO. b. associate's degree from a technical college acceptable to SAUDI ARAMCO. c. Manufacturers training courses, a minimum of two (2) of the following: i. Ross Hill SCR Systems ii. IPS SCR System 111. Baylor SCR Systems and Brake Controllers iv. PLC (Prog rammable Logic Controls) v. Caterpillar Engine controls vi. Martin/Decker Instrumentation vii . Air conditioning & Refrigeration training course d. Two (2) years in the electrical field with not less than two (2) years' experience in the Oil/Gas drilling industry. e. Has subject matter expert knowledge of all electrical test equipment associated with the electrical maintenance of drilling rigs, i.e. VOM, digital multimeters, oscilloscope, muggers, phase rotation detectors etc. f. Have a working knowledge of computers with a minimum capability of using Microsoft programs such as word, outlook, and excel. g. Familiar with API, ABS, IEEE, & SOLAS standards. h. Have good leadership skills with the ability to perform on-the-job training for Rig Electricians and trainees. i. Have the necessary English skills to communicate verbally and in any other written method (e.g. letters, forms and reports). J. Have the necessary communication skills necessary to submit reports, complete forms and converse with supervisors and management in English. k. Must have a working knowledge of drilling operations i.e. insure knowledgeable recommendations and decisions are made to minimize interruption of rig operations. I. Familiar with API, IEEE, & SOLAS Standards. m. Have good leadership skills with the ability to perform on-the-job training for Rig Electricians and Trainees. n. Have communicating skills necessary to submit reports, complete forms and converse with supervisors and management.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue. Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments. Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams. Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics. Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action. Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques. Requirements Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles Advanced proficiency in statistical programming (Python or R) and SQL Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $268,000 — $365,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Denver, CO; Fayetteville, AR; La Vista, NE; Lincoln, NE; Oklahoma City, OK; Olathe, KS Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As an Associate Construction Materials Testing (CMT) Technician, you will play a crucial role in ensuring the quality and safety of construction projects. You will independently collect construction materials samples from various construction sites and perform tests and inspections to assess the properties and integrity of those materials, using specialized equipment and following established procedures and standards. You will document your findings and communicate results to project managers and other stakeholders, facilitating informed decision-making and maintaining the structural integrity and safety of construction projects. This position requires frequent travel to project sites beyond our standard office locations, often for several months at a time. Training and onboarding will be conducted at the office closest to the selected candidate. After completing training, you will travel to the state where the assigned project is located.  A per diem allowance may be provided to cover travel-related expenses. This position includes: The use of a company truck for transportation to and from job sites Applicable PPE (personal protective equipment) provided Work boot reimbursement program Company issued laptop Cell phone reimbursement options Receive fully paid training, opportunity to participate in our mentorship program, and gain hands-on experience by shadowing seasoned professionals Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities . You bring to the team: Strong communication skills Ability to contribute and work well on a team 3+ years of experience in construction observation, inspection, testing, or a related field Valid driver's license with a good driving history The ability to work in a constant state of alertness and safe manner. Associate degree from a technical or four-year school, preferred but not required American Concrete Institute (ACI) Grade 1, International Code Council (ICC) Nuclear Gauge, or applicable Department of Transportation/Road certifications, preferred but not required #LI-HH1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

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: Worldwide We are looking for a SRE to join our Processing Core team. The Processing Core team is responsible for building and maintaining the core platform that powers our credit card products. We develop solutions for card issuance and management, tariff configuration, transaction processing, and integrations with global payment networks, ensuring the platform remains reliable, scalable, and efficient. As a SRE , you will contribute to the development and evolution of our core processing platform, working on business-critical systems that support the entire card lifecycle. You’ll collaborate with cross-functional teams to build reliable and scalable solutions, improve existing processes, and ensure seamless interactions with global payment networks. Challenges that await you: Managing the reliability and availability of payments processing solutions, ensuring the performance of applications Assisting in the design, implementation, and maintenance of payments processing solutions with a focus on reliability and scalability Monitoring technological metrics of services and collaborating with DevOps engineers Writing and maintaining deployment scripts, configs, helm charts and CI/CD jobs Addressing infrastructure issues and resolving product failures Participating in incident investigations to identify and eliminate root causes Maintaining technical documentation What makes you a great fit: Minimum of 3 years of experience in a similar position Understanding of the principles of multi-component system architecture and ability to apply them in practice (load balancing, ensuring fault tolerance, etc.) Hands-on experience with containerization technologies such as Docker, Kubernetes and logging tools like Prometheus, Grafana, ELK stack Familiarity with scripting languages like Python, Bash for automation tasks Expertise in CI/CD pipelines using tools like Jenkins, GitLab CI/CD Open mind for problem-solving and good troubleshooting skills Good communication and collaboration skills B1 or higher English level for effective communication with an international team Your bonus skills: Work experience with vendor solutions Experience working with payment or fintech systems Exposure to cloud infrastructure (AWS, GCP, etc) Background in performance tuning, database reliability Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs — Cyprus, Spain, Georgia, or Kazakhstan — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Sulphur Springs, TX Medical Director/ Attending Physician Location: Sulphur Springs, TX Schedule: Part-Time Salary: Negotiable About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a dynamic and compassionate Medical Director/ Attending Physician to join our team. As the Medical Director/ Attending Physician, you will play a key role in overseeing the delivery of comprehensive care to patients, ensuring high-quality service, and promoting best practices across the healthcare team. You will provide leadership, guidance, and direction to clinical staff, fostering a collaborative environment while maintaining the highest standards of patient care. This is an exciting opportunity to make a meaningful impact on patient outcomes and contribute to the growth and development of our medical team. Responsibilities Provide ongoing oversight, mentorship, and clinical guidance to the medical staff to maintain high standards of care Foster a collaborative environment that promotes best practices and continuous professional development Lead the interview and credentialing process for prospective medical staff Chair or co-chair the Quality Assurance and Performance Improvement (QAPI) Committee on a quarterly basis Assist in Department of Health (DOH) survey preparedness, ensuring compliance with state and federal regulations Lead the implementation of new clinical programs and initiatives Stay informed of advancements in geriatric and long-term care to continuously evolve the facility’s clinical offerings Provide direct patient care to residents, ensuring the highest quality of clinical treatment and support Requirements Certified Medical Director (CMD) certification is preferred. Extensive experience in long-term care (LTC) or skilled nursing facility settings. Strong leadership, communication, and team-building skills. In-depth knowledge of regulatory requirements and quality improvement processes in long-term care Ability to collaborate with interdisciplinary teams and external stakeholders to enhance patient care and facility operations Prolonged standing and walking on facility floors. Carrying a medical bag, laptop, tablet or diagnostic equipment. Bending, stooping, or assisting with positioning during exams. Navigating multi-level buildings, potentially with stairs or uneven surfaces. Lifting/moving patients. Benefits Competitive salary: Negotiable Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most.

Location: Switzerland Are you an experienced recruitment professional ready to take control of your career while backed by a global brand? Keller Haldren is seeking an ambitious, independent-minded recruiter to join our partner network in Switzerland. About This Opportunity We are looking for a talented recruiter who wants the autonomy of running their own operation while leveraging the infrastructure, brand recognition, and support of an established global recruitment organization. As a Keller Haldren Partner, you will have the freedom to build and grow your own recruitment business, your way, while benefiting from: Brand Power - Immediate credibility with clients and candidates through the Keller Haldren network. Operational Support - Access to our proven systems, technology platforms, and back-office infrastructure Global Network - Connect with fellow partners worldwide for cross-border placements and knowledge sharing Marketing Resources - Professional marketing materials, digital assets, and campaign support tailored for your market Financial Flexibility - Competitive revenue share model with transparent fee structure designed for your market, allowing you to retain significant earnings while accessing enterprise-level resources The Ideal Partner Profile You are an established recruitment professional who: Has 5-10 years of proven recruitment experience with a track record of successful placements and client relationships in your local market. Is ready for independence - You have been thinking about starting your own operation but want the backing of an established brand OR has recently launched an independent recruitment business and seeks strategic partnership to accelerate growth Possesses strong industry networks and the ability to generate business through existing relationships Values collaboration while maintaining entrepreneurial drive Understands market dynamics, cultural nuances, and regulatory environment Has the ambition to build a sustainable, profitable recruitment operation About Keller Haldren Keller Haldren is a global executive search and recruitment firm with operations across multiple countries. We specialize in connecting exceptional talent with leading organizations and have built a reputation for quality, integrity, and results. Our partner model has been developed to empower talented recruiters to build their own businesses while benefiting from our established infrastructure, brand, and global network. We believe that the best recruitment businesses are built by passionate professionals who have the freedom to operate autonomously while supported by world-class resources. Requirements Essential Minimum 5 years recruitment experience Demonstrated ability to manage full recruitment lifecycle independently Strong client relationship management skills Self-starter mentality with business development capabilities Strong understanding of employment law and recruitment practices Excellent communication skills (fluency in English essential) Desirable Existing client base or business pipeline Specialization in high-demand sectors Experience with recruitment technology and CRM systems Previous experience running a business or managing P&L Established network within your business community Benefits Build Your Business, With Enterprise-Level Backing Enjoy complete operational autonomy while leveraging the credibility of an established global brand. As a true business partner, you'll earn 100% commission-based income through our transparent revenue share model; keeping the majority of what you generate, with no salary cap limiting your potential. Access proven technology platforms, back-office infrastructure, and professional marketing resources without the bureaucracy. Connect with our global partner network for cross-border opportunities and knowledge sharing. Legal & Compliance Keller Haldren welcomes applications from all genders and does not tolerate discrimination, consistent with Swiss law (Federal Constitution & Gender Equality Act). Selection is based on qualifications and business merit. Applicants may request reasonable accommodations during the selection process. No fees are charged to jobseekers. Any legally permitted registration/commission fees under Swiss law are not applied by Keller Haldren. Controller(s): Keller Haldren HQ Purpose: assess and manage your application. Retention: up to 12 months unless you consent to longer. Your rights: access, rectification, erasure/objection per Swiss nFADP. Full policy: https://www.kellerexecutivesearch.com/privacy/ We may transfer your data abroad. Transfers follow Swiss law: to adequate countries (per Federal Council list) or, where needed, Swiss SCCs/additional safeguards. Transfers to the USA rely on the Swiss-US Data Privacy Framework for certified recipients. Switzerland does not require salary ranges in job ads; this is a commission-only independent-partner role. This is an independent partner (self-employed) opportunity, not employment with Keller Haldren in Switzerland. Any placement activity in/into Switzerland is conducted via/under a Swiss-licensed partner.

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: Mapbox Japan Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  SOLUTIONS ARCHITECT, AUTOMOTIVE Mapboxは、次世代のロケーションベースのビジネスを支える、世界をリードするリアルタイム・ロケーションプラットフォームです。人、モノ、車両の移動をあらゆる場所で支えるために必要なツールを包括的に提供する、唯一のプラットフォームです。 その柔軟性、高いセキュリティ、プライバシーへの配慮が評価され、世界で400万人を超える登録開発者に選ばれています。企業や組織は、Mapboxのアプリケーション、データ、SDK、APIを活用し、それぞれのニーズに合わせた魅力的で没入感のある体験を創り出しています。 Mapbox Japanでは、ロケーションテクノロジーの可能性をともに広げていく仲間を募集しています。 地図、モビリティ、ロケーションテクノロジーを通じて、新しいプロダクトや体験を生み出すことに関心のある方を歓迎します。 Solutions Architect, Automotive は、グローバルOEMから国内のスタートアップまで、幅広いお客様とともに、Mapboxのテクノロジーを活用した次世代のモビリティ体験を形にしていくポジションです。 What You'll Do Solutions Architectは、お客様の技術面・ビジネス面の双方における信頼されるアドバイザーとして、お客様と連携しながら、Mapboxプラットフォームを活用したソリューションの設計、プロトタイプ開発、導入を支援します。 お客様やアカウントチームと直接連携し、ニーズの把握からアーキテクチャの設計、ソリューションの実現までをリードします。データ、モビリティ、地図を組み合わせることで、優れたデジタル体験を創出し、具体的なビジネス成果につなげていく役割です。 技術に関する深い知見とビジネスへの理解をあわせ持ち、戦略、アーキテクチャ、ソリューション実現のすべてに関わりながら価値を生み出すことにやりがいを感じる方に適したポジションです。 このポジションで活躍する方の多くは、ソフトウェアエンジニアリング、プロダクトマネジメント、ソリューションエンジニアリング、テクニカルコンサルティングなど、複数の領域での経験を有しています。 Core responsibilities - 営業チームと連携し、Mapboxの技術的な価値をお客様に伝え、ビジネス機会の創出・具体化を支援します。 - お客様の目標、要件、成功基準を把握するための技術的なヒアリングをリードし、ビジネス目標の達成につながるソリューションを設計します。 - MapboxのSDK、API、プラットフォームサービスを活用し、拡張性の高いアーキテクチャを設計・提案します。 - お客様からの技術的な依頼（RFI／RFQ）に対し、明確な技術文書やソリューション提案を作成・提供します。 - プリセールスの各段階で技術的なアドバイスを提供するとともに、変化の速いデジタルビジネス環境において、ワークショップ、デモ、PoC／PoVを通じて、お客様の技術活用を迅速に支援します。 - 導入効果を早期に実現できるよう支援し、ダイナミックで複雑なエコシステムにおけるMapboxの導入・活用拡大を促進することで、お客様の成功に貢献します。 - お客様のニーズを社内に的確に伝え、体系的なフィードバックを提供することで、プロダクトやエンジニアリングの方向性に貢献します。 - 地図、モビリティ、AIに関する最新のテクノロジーや動向を継続的に把握し、ベストプラクティスを社内およびお客様と共有します。 What We Believe are Important Traits for This Role - ソリューションアーキテクチャ、顧客対応を伴うエンジニアリング（プリセールス／ポストセールス）、またはコンサルティングの分野で5年以上の実務経験をお持ちの方 - 日本語および英語で、ビジネスレベル以上のコミュニケーション（読み書き・会話）ができる方 - 日本国内に居住している方 - コンピューターサイエンス、エンジニアリング、または関連分野の学士号もしくは修士号をお持ちの方（尚可） - Webおよびモバイル技術（JavaScript、Android、iOS）に関する知識をお持ちの方 - バックエンドAPIとフロントエンドSDKを統合したアプリケーションの開発経験をお持ちの方 - GIS、ロケーションインテリジェンス、地理空間データ、地図に関する知識・経験をお持ちの方（尚可） - 主要なクラウドプラットフォーム（AWS、Azure、GCP）の利用経験をお持ちの方（尚可） - AI技術に関する知識・経験をお持ちの方（尚可） - RFI／RFQへの技術的な対応をリードし、包括的な技術提案書を作成した経験をお持ちの方 - 高いビジネス感覚を持ち、複数の拠点にまたがるチームと連携しながら自律的に業務を推進できる方 - 複雑な要件を整理し、お客様の目標に沿った、拡張性と堅牢性の高いアーキテクチャへ落とし込むことができる方 - 技術担当者から経営層まで、相手に応じた優れたコミュニケーションができ、経営層、プロダクト、エンジニアリング、開発者など幅広いステークホルダーを巻き込み、意思決定に影響を与えられる方 - OEMおよびTier 1サプライヤーとの協業経験をお持ちの方 - 自動車業界およびそのエコシステムへの理解があり、ナビゲーション、自動運転、ADAS、ISA、SDV（Software-Defined Vehicle）などの関連技術に関する知識をお持ちの方 - お客様とのミーティング、ワークショップ、業界イベントなどのため、業務時間の最大25％程度の出張に対応できる方 - 履歴書および応募書類は英語でご提出ください。 What We Value Mapboxのすべてのリーダーに共通して求められるコアバリュー https://www.mapbox.com/about/values/に加え、私たちは以下の考え方を大切にしています。 - 課題や新たな可能性に深く向き合い、高い成果を生み出す創造性豊かな人材を大切にしています。 - 一人ひとりが自分らしく働けることを大切にしています。そのために、充実したヘルスケア制度や育児休暇、ライフイベントに柔軟に対応できる働き方を整えるとともに、社員をより良くサポートするための仕組みを継続的に進化させています。 - 社員一人ひとりがそれぞれの役割で、そしてMapboxの一員として活躍するために必要な知識やスキルを身につけられるよう、互いに教え、学び合う環境を重視しています。 - 多様な人材が集まるチームを育てることには大きな価値があると考えています。バックグラウンド、性別、人種・民族、障がいの有無、性的指向などにかかわらず、あらゆる方からのご応募を歓迎します。 このポジションに応募することにより、応募者向けのMapbox Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/をご確認いただいたものとみなされます。応募手続きには、氏名や連絡先などの個人情報のご提供が必要です。これらの情報は、Mapboxが応募を受け付け、選考を行うために必要となります。 Mapboxは、公正かつ公平な採用プロセスの実現に取り組んでいます。法令で保護されるいかなる属性を理由とする差別も行いません。 Mapboxは、敬意に満ち、プロフェッショナルで安全な採用プロセスの提供に努めています。面接や候補者との連絡を含むすべての採用活動は、会社が承認した方法およびチャネルを通じて厳格に実施されます。 Mapboxは、敬意に満ち、プロフェッショナルで安全な採用プロセスの提供に努めています。面接や候補者との連絡を含むすべての採用活動は、会社が承認した方法およびチャネルを通じて厳格に実施されます。 SOLUTIONS ARCHITECT, AUTOMOTIVE Mapbox Japan is looking for talented people who want to help shape the future. If you're passionate about maps, mobility, and location technology, we'd love to hear from you. As a Solutions Architect, Automotive, you'll work with a diverse range of customers—from global OEMs to Japanese startups—to shape the next generation of mobility experiences. WHAT YOU'LL DO Solutions Architects are trusted technical and business advisors who partner with customers to design, prototype, and deliver solutions on the Mapbox platform. You will work directly with customers and account teams to discover needs, design architectures, and deliver solutions that turn data, mobility, and mapping into effective digital experiences and measurable business outcomes. This role is ideal for someone who combines technical depth with commercial acumen and thrives at the intersection of strategy, architecture, and delivery. Successful candidates typically have a mix of software engineering, product management, solutions engineering, and technical consulting experience prior to this role. Core responsibilities - Partner with Sales to position Mapbox’s technical value and shape opportunities. - Lead technical discovery to understand customer goals, requirements, and success criteria, and ensure solution designs meet business objectives. - Design and present scalable architectures using Mapbox SDKs, APIs, and platform services. - Respond to technical customer requests (RFI/RFQ) with clear technical documentation and solution proposals. - Provide technical guidance during the pre-sales cycle and deliver rapid technical enablement via workshops, demos, and PoC/PoV in a fast-paced digital customer environment. - Drive customer success by accelerating time-to-value and supporting adoption and expansion in a dynamic, complex ecosystem. - Advocate for customer needs and provide structured feedback to influence product and engineering direction. - Stay current on mapping, mobility, and AI technologies and share best practices internally and with customers. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 5+ years in solutions architecture, customer-facing engineering (pre-sales, post-sales), or consulting. - Fluent in Japanese and English (both written and verbal communication) - Location: Must reside in Japan - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred). - Knowledge of web and mobile technologies (JavaScript, Android, iOS). - Experience building applications that integrate back-end APIs and front-end SDKs. - Experience of GIS, location intelligence, geospatial data, and mapping is a plus. - Experience with major cloud platforms (AWS, Azure, or GCP) is a plus. - Experience with AI technologies is a plus. - Experience leading technical responses for RFI/RFQ, crafting comprehensive technical proposals. - Strong business acumen and comfort working autonomously across distributed teams. - Demonstrated ability to translate complex requirements into scalable, robust architectures aligned with customer objectives. - Excellent communication skills with both technical and executive audiences, combined with a proven ability to influence executive, product, engineering, and developer stakeholders. - Experience collaborating with OEMs and Tier-1 suppliers. - Understanding of the Automotive industry and its ecosystem technologies such as navigation, autonomous driving, ADAS, ISA, and software-defined vehicles. - Willingness to travel up to 25% for customer meetings, workshops, and industry events. - Please submit your resume and application in English. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. Mapbox is committed to providing a respectful, professional, and safe recruiting experience. All recruiting activities, including interviews and candidate communications, are strictly conducted through company-approved methods and channels.

Location: South Korea Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  Mapbox Japan은 미래를 바꾸는 동료를 찾고 있습니다. ✨ 지도·모빌리티·위치 테크놀로지에 두근두근하는 분, 꼭 봐 주세요! 솔루션 아키텍트로서 글로벌 OEM에서 국내 스타트 업까지 폭넓은 고객과 함께 차세대 이동 체험을 디자인해 나가는 포지션입니다. WHAT YOU'LL DO Solutions Architects are trusted technical and business advisors who partner with customers to design, prototype, and deliver solutions on the Mapbox platform. You will work directly with customers and account teams to discover needs, design architectures, and deliver solutions that turn data, mobility, and mapping into effective digital experiences and measurable business outcomes. This role is ideal for someone who combines technical depth with commercial acumen and thrives at the intersection of strategy, architecture, and delivery. Successful candidates typically have a mix of software engineering, product management, solutions engineering, and technical consulting experience prior to this role. Core responsibilities - Partner with Sales to position Mapbox’s technical value and shape opportunities. - Lead technical discovery to understand customer goals, requirements, and success criteria, and ensure solution designs meet business objectives. - Design and present scalable architectures using Mapbox SDKs, APIs, and platform services. - Respond to technical customer requests (RFI/RFQ) with clear technical documentation and solution proposals. - Provide technical guidance during the pre-sales cycle and deliver rapid technical enablement via workshops, demos, and PoC/PoV in a fast-paced digital customer environment. - Drive customer success by accelerating time-to-value and supporting adoption and expansion in a dynamic, complex ecosystem. - Advocate for customer needs and provide structured feedback to influence product and engineering direction. - Stay current on mapping, mobility, and AI technologies and share best practices internally and with customers. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 5+ years in solutions architecture, customer-facing engineering (pre-sales, post-sales), or consulting. - Fluent in Korean and English (both written and verbal communication) - Location: Must reside in Japan or South Korea - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred). - Knowledge of web and mobile technologies (JavaScript, Android, iOS). - Experience building applications that integrate back-end APIs and front-end SDKs. - Experience of GIS, location intelligence, geospatial data, and mapping is a plus. - Experience with major cloud platforms (AWS, Azure, or GCP) is a plus. - Experience with AI technologies is a plus. - Experience leading technical responses for RFI/RFQ, crafting comprehensive technical proposals. - Strong business acumen and comfort working autonomously across distributed teams. - Demonstrated ability to translate complex requirements into scalable, robust architectures aligned with customer objectives. - Excellent communication skills with both technical and executive audiences, combined with a proven ability to influence executive, product, engineering, and developer stakeholders. - Experience collaborating with OEMs and Tier-1 suppliers. - Understanding of the Automotive industry and its ecosystem technologies such as navigation, autonomous driving, ADAS, ISA, and software-defined vehicles. - Willingness to travel up to 25% for customer meetings, workshops, and industry events - Please submit your resume and application in English. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Commercial Account Executive at Ramp, you are a proven hunter & sales closer with a track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As a member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! WHAT YOU’LL DO - Drive revenue for Ramp, owning the entire sales cycle through close - Develop strategies for closing opportunities within your assigned territory - Leverage sales methodologies to uncover customer needs and pain points - Articulate Ramp’s value proposition by using the appropriate sales qualification standards - Own sales activity and monthly revenue forecasting in Salesforce - Collaborate with product, design, and engineering teams to incorporate customer feedback WHAT YOU'LL NEED - Minimum 2 years of quota-carrying direct SaaS sales experience in a full cycle closing role with strong prospecting, qualifying, negotiating, and closing skills - Experience closing 10-15 deals a month with an average deal size of 30K in ACV - Ability to discuss Ramp's value proposition with C-level executives, finance teams, and decision makers - Experience with outbound prospecting and conducting product demonstrations - Consultative sales approach and comfortable leveraging analytical & quantitative skills - Consistent track record of hitting or exceeding sales targets in a fast-paced environment - High adaptability and understanding of change within the evolution of a startup - Excellent verbal and written communication skills NICE TO HAVES - Experience selling financial services BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

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: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. - Establish standards and best practices for reliability and performance across the infrastructure. - Automate processes when relevant, particularly for managing CI/CD pipelines. - Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution. - Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. - Mentor junior team members and contribute to knowledge sharing within the organization. - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Extensive experience with Kubernetes. - Experience in building and maintaining scalable infrastructure. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins). - Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus. - Ability to own projects end-to-end, from project specification to execution. - No prior machine learning experience required, but should be open to learning about it. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Senior Product Operations Manager at Harvey, you will be the connective tissue between Product, Engineering, and Go-to-Market teams — turning strategy into execution across our entire product lifecycle. You'll build and scale the operating systems that help our product teams make better decisions, ship with confidence, and drive measurable impact for law firms and in-house legal teams pushing the frontier of AI adoption. You'll work as an extension of product leadership, balancing hands-on execution with strategic initiatives. This is a role for someone who builds from 0 to 1, thrives in ambiguity, and creates structure where none exists. WHAT YOU’LL DO - Inputs to Product Teams — Ensuring teams have the information they need to make great decisions - Build and maintain Voice of Customer systems that synthesize feedback from law firm partners, in-house clients, CSMs, and sales into actionable product signals - Establish rigorous mechanisms for measuring product success and user impact, including analytics dashboards, KPIs, and clear hypotheses - Create high-leverage engagement points with customers and partners throughout the product lifecycle — from alpha through post-GA - Streamline key decision points across teams, reducing friction and improving prioritization quality Ops of the Product Org — Creating the operating systems that enable product teams to thrive - Own and improve core product development processes, tooling, and team rituals (planning cycles, monthly reviews, roadmap prioritization, etc.) - Build reliable run-of-business systems that scale as Harvey grows — launch calendars, intake frameworks, RACI structures - Drive cross-functional alignment between Product, Engineering, Marketing, Sales, and Customer Success - Facilitate roadmap planning by coordinating stakeholder inputs and maintaining transparency across the org Outputs from Product Teams — Amplifying product impact by connecting what we build to those who need it - Design and run Early Access Programs and alpha testing programs that validate product-market fit and surface refinement signals before broad release - Own launch coordination end-to-end — ensuring timely, high-confidence rollouts with clear success metrics and post-launch monitoring - Maintain cross-team roadmap visibility that keeps GTM, Legal, and leadership aligned on what's shipping and why - Make it clear across Harvey what Product is building, how it's progressing, and what's coming next. WHAT YOU HAVE - 5+ years in Product Operations, Product Management, or a closely related operational role at a high growth tech or SaaS company - You've built processes and programs from scratch and scaled them thoughtfully — not just inherited and maintained them - Experience working with AI-native products, ideally in a domain where model quality and output reliability are central to the user experience - Strong ability to translate complex qualitative and quantitative data — usage metrics, feedback themes, retention signals — into clear recommendations and roadmap inputs - Proven ability to drive alignment across Product, GTM, and Engineering without direct authority - Hands-on experience with launch coordination, EAPs, or customer feedback loops in a fast-moving product environment - You're a natural bridge builder: fluent in strategy, comfortable in the weeds, and skilled at creating clarity where none exists. Ambiguity doesn't slow you down — it's where you do your best work. COMPENSATION RANGE $150,000 to $250,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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, US San Francisco, US New York City, US London, UK About the Role Cloudforce One is Cloudflare’s threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs).  Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation.  Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world’s largest global networks can provide.  The team is able to analyze these unique data points, at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. As a Software Engineer on this team, you will own the entire software development lifecycle—from design and architecture to deployment and monitoring—for systems that serve both threat disruption and legal response efforts. You will be responsible for translating complex legal and security requirements into robust, scalable, and high-performance applications that have a direct impact on making the internet better, safer, and more powerful every day. Responsibilities While the majority of our services are now written in Golang and TypeScript, you will also work with technologies such as Rust, Kafka, Redis, Kubernetes, Terraform, Temporal and PostgresSQL. We also pride ourselves in dogfooding our own products and services so you will be extensively working with Cloudflare’s developer platform as well. We are looking for great engineers regardless of experience with any of these specific technologies. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. Design, build, run, and scale distributed tools and services that support both cyber threat disruption and platform abuse efforts. Develop critical data pipelines and services to collect, analyze, and expose threat intelligence data for Cloudforce One analysts and Cloudflare customers, helping to identify Tactics, Techniques, and Procedures (TTPs) and Indicators of Compromise (IOCs). Collaborate closely with Threat Intelligence, Trust & Safety, Legal, and Product teams to understand goals and translate complex technical requirements into elegant, scalable solutions. Improve system design and architecture to ensure stability, performance, and maintainability of both internal and customer-facing compliance and security services. Analyze, communicate, and help prioritize complex technical concepts across teams. Ongoing monitoring and maintenance of production services, including participation in on-call rotations. Mentor and guide other developers in the team, helping to build collective technical expertise and promote best practices for writing well-tested, modular, and reusable code. Desirable Skills, Knowledge, and Experience Experience with AI-assisted development and agentic AI workflows At least 5 years of experience building large-scale software applications, preferably distributed systems At least 3 years of experience working with Threat Intelligence or in support of a Threat Intelligence platform Experience designing and integrating RESTful APIs and/or gRPC services Knowledge of SQL and common relational database systems such as PostgreSQL Prior experience writing production ready code in Go and/or Typescript Familiarity with Rust Excellent debugging and optimization skills Expertise in writing well tested code Interest in opportunities to be a technical mentor for teammates Bonus Points Deep understanding of DNS, TLS/SSL and HTTP Expertise in web security issues and industry standards for access control Experience with Kafka Experience building web applications using React Experience with Kubernetes Experience with Redis Compensation Compensation may be adjusted depending on work location. For San Francisco based hires: Estimated annual salary of $157,000 - $216,000 For New York City based hires: Estimated annual salary of $150,000 - $206,000 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: Philippines (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Strong command of English - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.