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Location: Annapolis, MD Position Objective: Performs preventive and corrective maintenance procedures with general supervision on diagnostic, laboratory, and therapeutic medical equipment throughout the Medical Center. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Under general supervision, repairs, calibrates, cleans, and safety checks all classes of Biomedical equipment in accordance with manufacturer specifications. Maintains records of maintenance, inventory and safety inspection activities in accordance with departmental policies. Disposes of hazardous waste in accordance with all local, state, and federal laws and regulations. Follows all safety procedures. Educational/Experience Requirements: Associates Degree in biomedical equipment technology, or electronics is preferred. One year of experience in a hospital setting preferred Must have working knowledge of the following pieces of equipment: general office equipment, safety analyzer, digital multimeter, hand truck, AC line analyzer, photo light meter, service terminal, patient simulator, defibrillator analyzer, ESU analyzer pressure meter, tachometer, flowmeter, infusion pump analyzer. Must have own vehicle, be willing to use it for work and be reimbursed for mileage, have a valid Maryland drivers license, and a driving record with no more than two (2) points. Required License/Certifications: Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $25 — $36 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Remote (Caribbean) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. OVERVIEW 📍 Remote - Caribbean Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review. This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them. WHAT YOU'LL DO - Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers - Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering. - Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication - Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off - Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring - Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention - Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements - Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction WHO WE'RE LOOKING FOR - Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem. - Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework. - End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs. - Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high. - Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip. - Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence. - Fluent, professional-level English communication, both written and verbal. NICE TO HAVE - Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar) - Familiarity with SQL and reading application logs - Background in technical support, SRE, incident response, or a related engineering-adjacent function - Exposure to AI-assisted coding/agent tooling - Experience in Ops, Support, or CX environments at scale HIRING PROCESS - Application Review - Skills Assessment via Case Study - Case Interview with Tech Support Team Lead - Interview with Head of Worker Experience Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

Location: Remote (APAC) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. OVERVIEW 📍 Remote - APAC Want to sit at the intersection of Support, Engineering, and Product? Clipboard is hiring Technical Support Engineers (TSEs) to act as the primary escalation layer for technical issues across our platform. You'll own the investigation, reproduction, and - where applicable- agent-assisted fix implementation that turns noisy customer reports into validated, high-signal work, so Engineering only receives production-ready problems for final review. This is a hands-on, high-ownership role for people who love digging into hard problems with real diagnostic tools, who care about getting to the root cause rather than just clearing a queue, and who want their investigations to directly protect platform reliability for hundreds of thousands of healthcare workers and the facilities that depend on them. WHAT YOU'LL DO - Monitor escalation channels and the Technical Support queue in Zendesk, catching early signals of systemic problems before they reach customers - Investigate complex product, platform, and data-layer issues using tools like Datadog, internal dashboards, and SQL, reproducing bugs and producing evidence-backed escalations to Engineering. - Handle live incidents end-to-end, from detection to closure: React to an incident with urgency, coordinate across Support, Engineering, and Product, and keep stakeholders updated with clear, structured communication - Implement fixes where appropriate, testing your changes before handing off to Engineering for final review and sign-off - Perform Root Cause Analysis and post-incident reviews, translating each issue into learnings that reduce recurrence and improve monitoring - Maintain operational workflows (geofence, facility quizzes, NFC) accurately and quickly while spotting trends for prevention - Capture investigative learnings in clear troubleshooting guides and documentation, and submit structured proposals that turn recurring patterns into actionable improvements - Uphold our values such as unreasonably fast, ownership, and uncomfortably high standards in every interaction WHO WE'RE LOOKING FOR - Technical Fluency - You're comfortable investigating issues with observability tools (e.g., Datadog), writing SQL to interrogate data, and reasoning about APIs, backend configurations, and feature toggles. You can tell the difference between a UI, data, and code-level problem. - Diagnostic Rigor - Every investigation you produce is thorough, evidence-based, and reproducible. You rule out config and data causes before escalating, and your write-ups are clear enough for another engineer to pick up without rework. - End-to-End Ownership - You own problems from first report to confirmed resolution, including stakeholder updates and follow-through, with no gaps between hand-offs. - Composure Under Pressure - You stay structured and calm during live incidents, balancing speed with accuracy and communicating clearly when stakes are high. - Adaptability & Prioritization - You juggle structured work (incidents, bugs, workflows) with unplanned high-priority requests without letting SLAs slip. - Systems & Prevention Thinking - You treat every issue as a chance to learn, identifying gaps in monitoring, tooling, or process and proposing fixes that prevent recurrence. - Fluent, professional-level English communication, both written and verbal. NICE TO HAVE - Experience with observability and analytics tooling (Datadog, Sentry, Snowflake, or similar) - Familiarity with SQL and reading application logs - Background in technical support, SRE, incident response, or a related engineering-adjacent function - Exposure to AI-assisted coding/agent tooling - Experience in Ops, Support, or CX environments at scale HIRING PROCESS - Application Review - Skills Assessment via Case Study - Case Interview with Tech Support Team Lead - Interview with Head of Worker Experience Important Note: Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including weekend availability. Shifts are assigned based on business needs. Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

* Run and improve the services that keep our data centres operating, from deployment pipelines to secret provisioning. * Contribute to SLIs and SLOs for our core platform services.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required. Key responsibilities Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work Research how models can learn efficiently from experiments and real-world feedback Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned Scale research ideas from prototype to production training runs Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities Minimum qualifications Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX Hands-on experience training or evaluating machine learning models Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results Ability to implement your own research ideas and diagnose problems in complex systems Ability to learn unfamiliar technical fields quickly and work productively with experts in them Clear communication and a collaborative approach to solving problems Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology Commitment to developing AI that is safe and beneficial Preferred qualifications Experience with reinforcement learning and pre-training on large language models, including environment and reward design Familiarity with large-scale language model training, evaluation, and inference pipelines Published research or practical experience in AI for science or engineering, or in long-horizon reasoning A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data Experience with large-scale data pipelines and technical or multimodal datasets Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing 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 (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking a talented and motivated full-time Software Engineering Manager to join our growing team. You will work as part of the engineering team to: Provide guidance, mentorship, and career development for a team of software engineers. Contribute toward the success of our Product organization which includes Engineering, Product Management, and Design. We operate in Pods of 2-4 engineers plus a Product Manager and Designer, and each Engineering Manager handles 2-3 such Pods. Pods work across the codebase to implement features, address shortcomings, and answer customer requests. Provide technical direction in projects as needed, as well as growing the technical leadership capabilities of the engineers reporting to you. Help in growing the organization: interviewing and recruiting, guiding the development of the engineering culture, developing processes as we grow. Because we’re an early-stage and fully remote company, we’re looking for a motivated individual who can help move the product forward. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential. Key Responsibilities Experience as a people manager: we are not yet at a size and level of maturity as an engineering org to provide the training and support for someone new in the management role. Achieve significant business outcomes through cross-functional collaboration with product managers, data scientists, and designers Help your team to improve their performance, the quality of their work; make major design decisions Hire, nurture, and oversee a team of engineers while fostering an atmosphere of psychological well-being, embracing diversity and promoting inclusion. Lead a team responsible for managing a critical production service, including operational concerns (monitoring, alerting, on call, etc) Manage healthy conflict by moderating design discussions and cultivating a positive culture of feedback with candor and kindness Collaborate with interdisciplinary teams across the organization to complete complex projects spanning multiple technical domains Drive planning across multiple time horizons, from immediate tactical needs to long-term strategic direction. What We Are Looking For Demonstrated leadership with substantial experience in managing and mentoring Engineering teams, including performance evaluations, career development, and fostering a collaborative work environment Background building and operating production services with high availability and performance targets. Expertise managing on call rotations and incident response A highly technical manager, able to independently evaluate complex technical tradeoffs in design conversations while leaning on experts in the team for design and implementation Experience developing in Go, used for much of the system Ability to give and process constructive feedback, as well as work independently Flexibility to adjust to the dynamic nature of a startup As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $206,000 — $257,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We’re seeking a talented and motivated full-time Software Engineering Manager to join our growing team. You will work as part of the engineering team to: Provide guidance, mentorship, and career development for a team of software engineers. Contribute toward the success of our Product organization which includes Engineering, Product Management, and Design. We operate in Pods of 2-4 engineers plus a Product Manager and Designer, and each Engineering Manager handles 2-3 such Pods. Pods work across the codebase to implement features, address shortcomings, and answer customer requests. Provide technical direction in projects as needed, as well as growing the technical leadership capabilities of the engineers reporting to you. Help in growing the organization: interviewing and recruiting, guiding the development of the engineering culture, developing processes as we grow. Because we’re an early-stage and fully remote company, we’re looking for a motivated individual who can help move the product forward. The ability to think on your feet, collaborate with highly technical teams, and comfort working asynchronously are essential. Key Responsibilities Experience as a people manager: we are not yet at a size and level of maturity as an engineering org to provide the training and support for someone new in the management role. Achieve significant business outcomes through cross-functional collaboration with product managers, data scientists, and designers Help your team to improve their performance, the quality of their work; make major design decisions Hire, nurture, and oversee a team of engineers while fostering an atmosphere of psychological well-being, embracing diversity and promoting inclusion. Lead a team responsible for managing a critical production service, including operational concerns (monitoring, alerting, on call, etc) Manage healthy conflict by moderating design discussions and cultivating a positive culture of feedback with candor and kindness Collaborate with interdisciplinary teams across the organization to complete complex projects spanning multiple technical domains Drive planning across multiple time horizons, from immediate tactical needs to long-term strategic direction. What We Are Looking For Demonstrated leadership with substantial experience in managing and mentoring Engineering teams, including performance evaluations, career development, and fostering a collaborative work environment Background building and operating production services with high availability and performance targets. Expertise managing on call rotations and incident response A highly technical manager, able to independently evaluate complex technical tradeoffs in design conversations while leaning on experts in the team for design and implementation Experience developing in Go, used for much of the system Ability to give and process constructive feedback, as well as work independently Flexibility to adjust to the dynamic nature of a startup As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $272,040 — $344,380 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer II, JVM San Mateo, CA The Data Engineering Team fuels real-time, intelligent data insights for PlayStation’s Cloud Streaming offering. In this role, you’ll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra! Responsibilities Design and implement middleware and backend systems capable of handling high throughput and load Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight Optimize performance, reliability, and monitoring of the data pipeline stack Support migration efforts of our on-premises Kafka to new cloud technologies Perform in-depth analysis of functional or business requirements Contribute to architectural decisions for PlayStation’s cloud streaming data pipeline Liaise with Business Intelligence and product domain teams to help turn data into information, and information into business value Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field or equivalent practical experience 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance Proficient in JVM Languages (Kotlin, Scala, Java) and Python Experience with Apache Kafka, Flink, Spark, and SQL Knowledge of software paradigms like functional programming, object oriented programming, TDD Knowledge of web technologies including REST, JSON, gRPC, and WebSockets Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data Experience with ETL, stream processing, real-time pipelines, and batch processing Familiarity with software development tools and processes like Git and CI/CD Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus Experience with Kubernetes, Docker, and cloud deployment technologies is a plus At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $163,700 — $245,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer II, JVM San Diego, CA The Data Engineering Team fuels real-time, intelligent data insights for PlayStation’s Cloud Streaming offering. In this role, you’ll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra! Responsibilities Design and implement middleware and backend systems capable of handling high throughput and load Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight Optimize performance, reliability, and monitoring of the data pipeline stack Support migration efforts of our on-premises Kafka to new cloud technologies Perform in-depth analysis of functional or business requirements Contribute to architectural decisions for PlayStation’s cloud streaming data pipeline Liaise with Business Intelligence and product domain teams to help turn data into information, and information into business value Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field or equivalent practical experience 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance Proficient in JVM Languages (Kotlin, Scala, Java) and Python Experience with Apache Kafka, Flink, Spark, and SQL Knowledge of software paradigms like functional programming, object oriented programming, TDD Knowledge of web technologies including REST, JSON, gRPC, and WebSockets Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data Experience with ETL, stream processing, real-time pipelines, and batch processing Familiarity with software development tools and processes like Git and CI/CD Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus Experience with Kubernetes, Docker, and cloud deployment technologies is a plus At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,100 — $225,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are hiring an Engineering Manager to lead the Device Trust Platform team, the group responsible for the lower-level platforms that power 1Password Device Trust and that will, over time, underpin Device Security and the broader 1Password security platform. These systems ingest, process, and store a high volume of telemetry from the devices our customers depend on. Our customers expect this to work with Tier 0 reliability: the services this team owns are always on, and when something fails, it fails over without anyone noticing. This is an end-to-end team responsible for the data pipelines, storage systems, and infrastructure that keep the product reliable at scale, as well as the application code that runs on top of them. You will lead a group of senior and staff engineers who are already deep in this architecture, and you will grow the team over time, adding engineers as the platform's scope expands and onboarding new hires into a team with high operational standards. You will be responsible for the resiliency and reliability of our applications. That means owning availability targets, incident response, capacity, and the architectural decisions that keep a multi-region system honest. It also means running a healthy engineering team: planning, design reviews, career growth, and hiring. The role reports to the Senior Manager, Engineering for Device Trust. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - 3+ years managing and mentoring software engineering teams, including senior and staff engineers, with a track record of engineers growing in scope and seniority under your leadership. - A strong background in the infrastructure behind highly reliable, high-volume data systems: ingestion pipelines, streaming or queueing systems, large datastores, and the operational tooling around them. - Hands-on experience operating multi-region systems with failover and redundancy, and owning availability for a service customers treat as critical: SLOs, incident response, postmortems, and the follow-through that keeps incidents from recurring. - Experience owning production observability: instrumentation, dashboards, alerting, and using telemetry to drive reliability and capacity decisions. Datadog experience is strongly preferred. - Significant hands-on development experience and strong technical judgment: you can review the code your team writes and partner with staff engineers on architecture and system design. - Demonstrated success leading a hybrid team that spans infrastructure and application engineering on one roadmap. - A leadership style grounded in empowering the team: you set direction, clear the path, and defer to the engineers closest to the problem, staying calm and structured under pressure. - Excellent communication with technical and non-technical stakeholders, including explaining reliability risk and trade-offs to product and leadership partners. Bonus points for: - Experience with Ruby on Rails applications at scale, or with Go services and agent-based data collection. - Experience with osquery, endpoint telemetry, or other device-data pipelines. - Experience running Kubernetes-based platforms on AWS or another major cloud, including infrastructure-as-code. - Experience managing remote and distributed teams. - Experience building systems that balance rapid iteration with enterprise-grade security and compliance requirements. - Deep experience with Datadog, including APM, log management, custom metrics, and SLO-based monitoring. What you can expect: TEAM LEADERSHIP - Lead, coach, and grow a team of senior and staff engineers who own the platform layer of Device Trust, measuring your success by the team's success rather than your own visibility. - Hire, onboard, and integrate new engineers as the team grows and as Device Security and other 1Password products come to depend on these platforms. - Give engineers room to design the solutions they believe are right for customers, while holding them accountable to outcomes. The team closest to the problem makes the technical call; you make sure they have the context, time, and support to make it well. - Spend your time listening and removing obstacles: unclear priorities, missing context, cross-team dependencies, and process that slows the team down. Advocate for the team's needs with leadership and partner teams. - Support career development through regular feedback, mentorship, and growth planning, including the path from senior to staff. - Foster a culture of ownership, trust, and psychological safety, where incidents produce learning rather than blame, and lead by example on transparency, follow-through, and humility. RELIABILITY AND OPERATIONS - Own the reliability and resiliency of Device Trust applications and the platforms beneath them, against a Tier 0 expectation from customers. - Define and maintain SLOs, error budgets, and the monitoring and alerting that make them meaningful. - Lead the on-call program for the team: rotation design, escalation paths, and runbooks that let any engineer respond with confidence. - Run incident response and blameless postmortems, and drive remediation work to completion. - Plan and execute multi-region failover, disaster recovery, and capacity work, and verify it with regular exercises rather than assumptions. OBSERVABILITY - Own observability for the Device Trust platform as a product in its own right: metrics, logs, traces, and the dashboards, monitors, and SLOs built on them in Datadog, our observability platform. - Continue the work already underway on the team to instrument services end to end, so that latency, throughput, error rates, and data freshness are visible per customer, per region, and per pipeline stage. - Make the health of the platform legible to people outside the team, including support, product, and leadership, through dashboards and status reporting that answer "is it working" without an engineer in the loop. - Treat alert quality as an engineering problem: reduce noise, tie alerts to SLOs, and ensure every page has a runbook and an owner. - Use observability data to drive capacity planning and to find reliability risk before it becomes an incident. TECHNICAL DIRECTION - Partner with staff engineers to evolve the data ingestion, processing, and storage architecture so it scales ahead of customer growth. - Set the technical direction for how these platforms generalize to serve Device Security and future products, not only Device Trust. - Maintain a high bar for performance, security, and data integrity in a security-first enterprise environment. - Identify and mitigate risks introduced by architectural change, migrations, and new dependencies before they reach production. DELIVERY AND PLANNING - Scope, plan, and drive execution of platform initiatives with the team, balancing reliability investment against feature work. - Coordinate cycle planning, design reviews, and project planning so the team ships predictably. - Cascade priorities, progress, and risk to stakeholders across Device Trust and partner teams, keeping roadmaps transparent. - Contribute to cross-team and departmental initiatives that raise the reliability bar across the engineering organization. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier. We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely. We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and to test Claude's designs against real-world feedback. Key responsibilities Design and implement evaluation methodologies for assessing AI model capabilities relevant to engineering and applied science research and applications Design realistic tasks and training environments, and curate data from your field Develop and validate simulations and computational tools for your field, and calibrate them against real-world data Work with industry partners, manufacturers, and labs to build and test what Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training Think through how Claude's engineering capabilities can permeate the real world: where they can have the most impact across industry and research, and what it takes to get them adopted Advise the team on which problems, tools, and workflows matter most in your field Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training Translate between engineering domain knowledge and machine learning objectives Minimum qualifications Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; computational simulation Experience with AI or machine learning, whether evaluating and training AI systems or applying these tools in your field Track record of taking work from concept through to a working result, such as a product, process, device, experiment, or tool Hands-on proficiency with the computational design, analysis, or simulation tools used in your field Basic programming proficiency, for example in Python Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment Ability to work independently while collaborating closely with cross-functional teams, and to explain your field clearly to people outside it Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards Preferred qualifications 5+ years of hands-on R&D or industry experience in an engineering or applied science discipline Ph.D. in an engineering or applied science field, or equivalent industry experience Industry experience in product design and manufacturing, or in developing engineering or scientific simulation software Breadth across more than one discipline, or across several stages of the path from design to production Familiarity with modern AI model training methods Track record of building high-fidelity solvers or simulation engines that were validated against real-world data and used in practice Experience working with manufacturers, vendors, contract research organizations, or academic labs Experience managing data pipelines and working with large-scale technical datasets Publications, patents, or contributions to open-source scientific or engineering software 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 — $405,000 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.

We are hiring an engineer to own the document processing pipelines end to end: design, benchmarking, experimenting with new architectures and tools, threshold required for deploying a new pipeline, etc. Design the pipelines.

Location: Worldwide We are seeking a hands-on Engineering Manager for AI Platform , the team that builds and supports internal AI platforms used across the company. You will lead a cross-functional engineering team, own delivery end to end, and work closely with Product, Data, and AI teams on scope, priorities, and the platform roadmap. This is a hands-on role: beyond people management, you will take an active part in shaping the architecture and making technical decisions within the team. Challenges that await you: Build and lead the team across hiring, planning, task decomposition, process improvements, and cross-team collaboration Own and drive the development of internal AI platforms from concept to production, and keep them reliable as adoption grows Turn recurring needs from product teams into reusable platform capabilities rather than one-off solutions Ensure strong team performance and reliable, on-time delivery aligned with company and business goals Partner closely with Product, Data, and AI teams, and with the internal teams who use the platforms, to understand their needs and drive adoption Make well-reasoned build-vs-adopt decisions, including evaluating, integrating, and extending open-source solutions Shape the architecture, design, and implementation of scalable backend services, APIs, and integrations What makes you a great fit: Experience leading engineering teams, including hiring, people development, performance, and delivery management Proven experience leading teams in AI, ML, or data-driven engineering environments as well as training models on your own Strong technical background with hands-on development experience and the ability to validate technical decisions independently Experience taking AI-powered products or services from concept to production including measuring their impact through A/B tests or other metrics Ability to translate ambiguous business and product requirements into clear technical solutions and priorities Strong cross-team communication skills and the ability to collaborate with Product, Data and business stakeholders English proficiency at B1 level or higher for effective collaboration with an international team 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 or Georgia — 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: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We’re looking for an Engineering Manager to lead Trust & Safety within Render’s Security team. Your mission is to keep Render a trusted place to build and run applications by preventing fraud and abuse, protecting customers from malicious activity, and making it harder for attackers to use our platform. You’ll lead a team of engineers who build and operate the systems behind this work: detection pipelines, investigation tools, automated enforcement, and protections across the customer lifecycle. You’ll combine strong people leadership with technical judgement, helping the team respond effectively to incidents while investing in systems that prevent recurring problems. You’ll partner closely with Product, Infrastructure, customer-facing teams, Finance, and Legal to translate emerging threats and customer needs into practical engineering work. The decisions your team makes will directly affect customer safety, platform reputation, fraud losses, and the experience of legitimate developers. WHAT YOU'LL DO - Lead and grow the Trust & Safety engineering team through hiring, mentorship, regular feedback, performance management, and career development. - Define the team’s roadmap, balancing investigations and operational needs with sustained investments in prevention, automation, and platform protections. - Guide the design and delivery of systems that detect phishing, malicious workloads, payment fraud, and other forms of platform abuse. - Build investigation and enforcement tooling that gives responders the context to act quickly, records decisions, and supports consistent handling of escalations and appeals. - Lead the team’s response to significant fraud and abuse incidents, coordinating with other Security teams, Infrastructure, Support, Finance, and Legal. - Establish sustainable on-call and response practices, including clear ownership, runbooks, escalation paths, and learning from incidents. - Partner with Product and Engineering to introduce protections at the right points in the customer lifecycle, balancing prevention with onboarding friction and false positives. - Turn knowledge of attacker behavior and recurring abuse campaigns into improvements that protect customers and reduce repeat incidents. - Define and use metrics for fraud losses, detection and response time, false positives, repeat abuse, and operational workload to guide investment. WHAT WE’RE LOOKING FOR - 5+ years experience managing and developing engineers, including hiring, coaching, performance management, and building a healthy, inclusive team. - A strong background in software and security engineering, with the ability to guide system design, review technical proposals, and make pragmatic architectural tradeoffs. - Experience building or operating systems for fraud prevention, abuse detection, Trust & Safety, or adversarial security problems. - Experience leading teams with on-call or incident response responsibilities, and sound judgement when decisions must be made with incomplete information. - The ability to translate ambiguous threats and business needs into clear priorities, incremental milestones, and shipped improvements. - Experience using data to evaluate detection quality, understand operational problems, and measure whether interventions work. - Clear communication and effective collaboration across engineering and business teams, including explaining risks and tradeoffs to technical and non-technical partners. - Empathy for customers and responders, high integrity, and a strong sense of ownership for both team outcomes and long-term system health. NICE-TO-HAVES - Experience with cloud infrastructure, developer platforms, or services that run customer-controlled code and workloads. - Experience addressing payment fraud, phishing, malware hosting, account compromise, or coordinated abuse campaigns. - Experience building threat intelligence pipelines, linking related malicious accounts, or integrating external reputation signals. - Familiarity with Go, TypeScript, Kubernetes, Postgres, Terraform, or Temporal. - Experience partnering with Legal and customer-facing teams on sensitive enforcement decisions and external abuse reports. - Experience building and scaling a team at a growing company. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Core is the engineering organization building the shared capabilities, including search, AI, and customer intelligence, that every product across the Fanatics ecosystem builds on. We are seeking an Engineering Manager to lead the team that owns Search and Consumer AI. This leader will own some of the most leveraged surfaces we build: how fans find what they’re looking for, how AI shows up inside our apps, and how AI powers an excellent customer experience. You will lead a team of software engineers spanning two closely connected charters: Consumer AI: customer support AI, including LLM-powered assistants, conversational analytics, sentiment analysis, predictive troubleshooting, and the tooling that lets customer success teams act on AI-generated insights; and (2) embedded AI experiences in the fan journey, such as AI commentary, recommendations, summaries, and in-app assistance. Search: native search, including query understanding, relevance and ranking, autocomplete, and personalization; and (2) AI search, including natural-language and conversational search that lets fans ask for what they want in their own words and get answers, not just results. Success in this role requires strong partnership with Product, Data Science, Customer Operations, and product teams across the ecosystem to shape the roadmap, make smart trade-offs, and deliver outcomes fans feel. You’ll work on complex, high-scale challenges as part of a team that values innovation, collaboration, and excellence. Responsibilities Delivery & Ownership Lead the team to deliver against commitments across Search and Consumer AI, owning delivery plans end to end: scope and sequence work, remove blockers, and manage risk. Set a high bar for reliability, performance, and relevance quality, with observability in place for AI and search services. Ensure the team’s work meets Fanatics standards for data governance, security, compliance, and responsible AI. Own on-call, incident response, and operational health for the team’s systems. Strategy & Roadmap Partner with Product and engineering leadership on planning and roadmap building, using technical insight and fan impact to influence priorities. Connect day-to-day execution to team strategy and Fanatics business goals so engineers understand why their work matters. Partner with product teams across the ecosystem to embed AI experiences into their surfaces, agreeing on shared ownership, interfaces, and quality bars. Guide how LLMs and ML models are evaluated, integrated, and rolled out in production. Communication & Collaboration Coordinate across engineers, adjacent teams, and cross-functional partners to drive end-to-end delivery. Represent the team’s plans, progress, and risks in planning and review forums. Keep the team informed on goals, trade-offs, and decisions, and create space for two-way feedback. People & Ways of Working Hire, onboard, and grow a high-performing team; give candid, timely feedback and invite the same. Mentor engineers on craft, ownership, and collaboration, and support their career growth. Build team processes (planning, reviews, retros, experimentation) that help the team learn fast and ship reliably. Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team building. Qualifications We value aptitude over experience, but here are some key skills that will make you successful on this team: 1-3+ years managing a software engineering team, or significant tech-lead experience with people-leadership responsibilities, delivering complex, high-scale systems. Experience in a Java / AWS ecosystem; familiarity with AWS Bedrock or equivalent managed AI services preferred. Experience shipping consumer-facing AI/ML or NLP features to production, including integrating LLMs and building the pipelines and evaluation practices that keep them reliable. Strong understanding of search, discovery, or relevance systems, including how traditional search and LLM-based approaches complement each other. Strong technical judgment and clear, confident communication with engineers, Product partners, and leadership. Proven ability to mentor engineers and build a healthy, high-performing team culture. Preferred Background in customer support AI or embedded consumer AI experiences (assistants, conversational analytics, AI commentary, recommendations). Familiarity with Kafka, Airflow, dbt, OpenSearch, Kotlin, and Salesforce. Experience building shared platforms consumed by multiple product teams. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $190,000 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Москва Привет! Это GigaChat Vision — команда, которая делает полный цикл обучения VLM-моделей. Ищем сильного senior-инженера в RL-направление: человека, который будет драйвить ключевые исследования и разработки, влиять на качество моделей и доводить сложные идеи до работающих решений. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Разрабатывать и улучшать RL-подходы для обучения VLM/LLM-моделей: выбор алгоритмов, постановка экспериментов и анализ результатов; * Проектировать reward-функции и пайплайны обучения, выстраивать стратегии масштабирования под разные домены и сценарии, напрямую влияя на метрики качества; * Определять требования к данным для RL: участвовать в построении пайплайнов сбора, фильтрации и подготовки датасетов; * Развивать систему оценки reasoning-качества: внедрять и улучшать метрики в существующем eval-фреймворке, предлагать новые способы измерения качества под новые возможности модели; * Работать на стыке с Pretrain / SFT / Infra: обеспечивать согласованность решений и перенос экспериментов в продакшн-пайплайн; * Следить за состоянием области и переводить свежие идеи из статей в проверяемые эксперименты и инженерные решения; * Глубоко погружаться в технические задачи: дебажить эксперименты, разбирать аномалии в обучении, находить узкие места и доводить решения до результата; * Делиться экспертизой с командой: участвовать в код-ревью, помогать улучшать качество решений и подходы к экспериментам; * Развивать инфраструктуру для RL. Требования * Глубокое понимание RL для LLM/VLM (RLHF, GRPO, PPO) и практический опыт; * Понимание полного цикла обучения VLM/LLM (pretrain → SFT → RL) и того, как решения на каждом этапе влияют на финальные метрики; * Опыт с распределённым обучением (DeepSpeed, FSDP) и inference-фреймворками. * Сильный практический опыт постановки, проведения и анализа RL-экспериментов; * Умение работать в условиях неопределённости и самостоятельно двигать сложные технические задачи; * Умение выстраивать процессы в условиях неопределённости; * Опыт взаимодействия со смежными командами и стейкхолдерами; * Системное мышление: способность видеть картину целиком — от данных и reward-дизайна до eval и продакшн-метрик. **Будет плюсом:** * Опыт менторинга или технического лидерства в рамках отдельных проектов; * Публикации или open-source вклад в области RL/LLM/VLM; * Опыт вывода RL-обученных моделей в продакшн и поддержки их качества. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Привет! Это GigaChat Vision — команда, которая делает полный цикл обучения VLM-моделей. Ищем сильного инженера в RL-направление: человека, который будет драйвить ключевые исследования и разработки, влиять на качество моделей и доводить сложные идеи до работающих решений. _Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram. Диалог займёт примерно 10 минут. Его задача — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным!_ Обязанности * Разрабатывать и улучшать RL-подходы для обучения VLM/LLM-моделей: выбор алгоритмов, постановка экспериментов и анализ результатов; * Проектировать reward-функции и пайплайны обучения, выстраивать стратегии масштабирования под разные домены и сценарии, напрямую влияя на метрики качества; * Определять требования к данным для RL: участвовать в построении пайплайнов сбора, фильтрации и подготовки датасетов; * Развивать систему оценки reasoning-качества: внедрять и улучшать метрики в существующем eval-фреймворке, предлагать новые способы измерения качества под новые возможности модели; * Работать на стыке с Pretrain / SFT / Infra: обеспечивать согласованность решений и перенос экспериментов в продакшн-пайплайн; * Следить за состоянием области и переводить свежие идеи из статей в проверяемые эксперименты и инженерные решения; * Глубоко погружаться в технические задачи: дебажить эксперименты, разбирать аномалии в обучении, находить узкие места и доводить решения до результата; * Делиться экспертизой с командой: участвовать в код-ревью, помогать улучшать качество решений и подходы к экспериментам; * Развивать инфраструктуру для RL. Требования * Глубокое понимание RL для LLM/VLM (RLHF, GRPO, PPO) и практический опыт; * Понимание полного цикла обучения VLM/LLM (pretrain → SFT → RL) и того, как решения на каждом этапе влияют на финальные метрики; * Опыт с распределённым обучением (DeepSpeed, FSDP) и inference-фреймворками. * Сильный практический опыт постановки, проведения и анализа RL-экспериментов; * Умение работать в условиях неопределённости и самостоятельно двигать сложные технические задачи; * Умение выстраивать процессы в условиях неопределённости; * Опыт взаимодействия со смежными командами и стейкхолдерами; * Системное мышление: способность видеть картину целиком — от данных и reward-дизайна до eval и продакшн-метрик. **Будет плюсом:** * Опыт менторинга или технического лидерства в рамках отдельных проектов; * Публикации или open-source вклад в области RL/LLM/VLM; * Опыт вывода RL-обученных моделей в продакшн и поддержки их качества. Условия * крупнейшее DS&AI community — более 600 DS-специалистов банка * дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира * возможность быть соавтором НИРов и статей для международных конференций * возможность выбрать удобный формат работы: гибрид или офис * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека выгоднее до 7% для каждого сотрудника * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Omaha, NE 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 Engineer for Olsson’s Rail Track team, you will contribute to the design and delivery of rail infrastructure projects for freight rail, industrial, and other rail clients. You will apply your engineering experience to track design, project execution, technical calculations, plan production, quality control, and coordination with multidisciplinary project teams. You may also support project scheduling, estimating, field activities, and client needs throughout various stages of project development. Primary duties and responsibilities: Performs engineering design and plan production for rail track and related civil infrastructure projects using established engineering standards, procedures, and design criteria. Develops track alignments, profiles, grading, drainage, and other design elements associated with rail infrastructure projects. Utilizes design and modeling software to develop construction plans and other project deliverables. Performs engineering calculations and assists with technical documentation, specifications, quantity estimates, and cost estimates. Coordinates with project managers, senior engineers, technicians, and other technical disciplines to support successful project delivery. Completes assigned portions of projects with increasing independence while receiving guidance from senior-level staff on more complex assignments. Assists with quality control reviews to help ensure project deliverables meet client requirements and applicable standards. Researches applicable design standards, requirements, and regulations and assists with the preparation of technical reports. May provide guidance and mentoring to less experienced staff and student interns on routine assignments. May travel to project sites and work in various terrain and weather conditions during field investigations, construction observation, or other project activities. Qualifications You are passionate about: Working collaboratively with others Having ownership in the work you do Using your talents to positively affect communities and infrastructure You bring to the team: Bachelor’s degree in civil engineering. Engineer Intern (EI) certification or the ability to obtain it. Previous engineering experience, preferably involving rail, transportation, or civil infrastructure design. Strong communication and interpersonal skills. Solid problem-solving, organizational, and decision-making skills. Ability to research and interpret applicable engineering standards, requirements, and regulations. Strong mathematical and analytical abilities. Working knowledge of, or the ability to become proficient in, MicroStation, OpenRail, and related rail design software. Ability to work effectively as part of a multidisciplinary project team and take increasing ownership of assigned project tasks. Understanding of consulting project delivery, including the importance of quality, schedule, budget, and client service. Valid driver’s license and a good driving history. 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 .