Вакансии

Location: San Francisco, CA | New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate the development of new research applications Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration Contribute to technical strategy and architectural decisions for research tooling Mentor other engineers and help establish best practices for research application development You may be a good fit if you Have 5+ years of software engineering experience with a strong focus on full-stack development Excel at rapid iteration and shipping—you can move from concept to working prototype quickly Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) Demonstrate high agency and ability to operate independently in ambiguous environments Can quickly develop deep understanding of complex technical domains Have strong product instincts and can identify the right problems to solve Are proficient with modern web technologies (React, TypeScript, Python, etc.) Have a track record of building user-facing applications that are actually used and loved by their target audience Communicate effectively with both technical and non-technical stakeholders Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have Experience building research tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools Built open-source tools or platforms with active user communities Experience with data visualization, interactive interfaces, or novel interaction paradigms Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products) Experience leveraging AI/LLMs to build more powerful or efficient tools Previous work in creative tools, artist tools, or other domains requiring deep user empathy Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment Representative projects Building interfaces for collecting and managing human feedback on model outputs at scale Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs Developing visualization tools that help researchers understand model behavior and identify failure modes Designing reusable components and frameworks that enable rapid development of new research applications Building sandboxed execution environments for safely running AI-generated code 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: $300,000 — $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science – working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 — $560,000 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. 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: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world, providing high-touch support to the businesses building on Claude. You’ll take the cases that need more than a help article: understanding how a customer has built on our platform (their integrations, their authentication and identity setup, their use of the models) and then investigating, diagnosing, and resolving their most complex technical needs. You’ll partner with engineers to get to the bottom of things, and with account teams to keep the customer’s trust while you do. Additionally, you’ll help us identify and close gaps in our team’s technical knowledge, turning what you learn from each case into documentation, tooling, and product feedback so the whole team gets sharper. This is a role for someone who wants their technical depth to matter to real businesses, and who cares as much about how we systematically support customers at scale as about the case in front of them. Responsibilities Provide high-touch support to our most strategic customers, communicating clearly and empathetically with a wide range of user personas, context-switching between guiding an executive through an incident and providing critical product knowledge to an admin in need of help within the same hour Serve as an escalation point for our most complex technical issues: reproducing customer issues, utilizing logs and traces, and providing solutions alongside engineers Troubleshoot SSO, SAML, and OAuth authentication flows, and the integration surface where our products meet a customer’s infrastructure Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Manage on-call tasks for high-urgency user issues with extreme ownership Respond to user support cases with a variety of complexity, from questions from individuals to complex API debugging for large businesses Become an expert in all Anthropic products, and delight in the hunt when something doesn’t behave as expected Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates Operate in ambiguity, making informed decisions even in never-before-seen situations Prioritize critically and comfortably adapt to an ever-evolving product landscape Minimum qualifications Several years of technical product support experience at a high-growth tech company, including hands-on API debugging, ideally on a tier-two, escalated, or priority support team Experience supporting enterprise or strategic accounts: exec-level communication, escalation management, and working shoulder-to-shoulder with account and engineering teams Fluency with APIs and technical SaaS products; you read technical docs with ease and can reason about someone else’s architecture from a handful of clues Experience troubleshooting SSO, SAML, and OAuth authentication flows A demonstrated ability to thrive in fast-paced, reactive situations while hitting core support metrics (CSAT, SLA, and the like) Strong user empathy and mastery of the support case lifecycle; you read between the lines, get to the heart of the need, and resolve it fast Crisp but kind written communication and a deep care for detail Persistence and curiosity: you’re energized by tracking down a bug, and more energized by fixing it for every similar user going forward A deep sense of ownership, genuine interest in Anthropic’s products, and enthusiasm for helping build the team Preferred qualifications While not required, we're particularly excited about candidates with one or more of these specializations: Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) SQL proficiency for querying logs and investigating issues Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts Experience supporting government or public sector customers, including compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams We’re hiring across a range of experience levels to build depth in both technical capabilities and enterprise support. 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: $131,040 — $210,000 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. 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: Cairo, Egypt; Manama, Bahrain; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Delhi, India Müller's Solutions is seeking a talented Temenos Functional Consultant to join our team. In this role, you will be the key link between our clients and the technology, helping them optimize their use of Temenos banking solutions. You will analyze business needs, configure Temenos applications, and provide guidance to ensure that clients achieve maximum value from their software investment. Responsibilities: Conduct comprehensive requirement gathering sessions with clients to understand their business processes and needs. Configure and customize Temenos applications to align with client requirements, focusing on modules such as Core Banking, Digital Banking, and Wealth Management. Develop functional specifications and documentation to guide development and implementation efforts. Perform system testing, validation, and quality assurance to ensure solutions meet client expectations. Provide training and support for end users, ensuring they are proficient in utilizing the Temenos system effectively. Stay abreast of the latest Temenos updates, modules, and best practices to provide informed advice to clients. Collaborate with technical teams to maintain system integrity and design database workflows. Requirements Requirements: Bachelor's degree in Finance, Business Administration, Information Technology, or a related field. A minimum of 5 years of experience working with Temenos software solutions. Strong knowledge of Temenos modules, functionalities, and related banking services. Experience in business analysis, process mapping, and system configuration. Excellent problem-solving abilities and attention to detail. Strong communication and relationship-building skills to effectively engage with clients and stakeholders. Ability to prioritize tasks and manage multiple projects in a fast-paced environment. Temenos certification or training is preferred. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

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 As a Manager on the AI-Native GTM team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing AI-Native customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: Lead, coach, and develop a team of 5-10 Account Executives, providing regular feedback and guidance to drive both individual and team performance Own team revenue targets, developing strategies to accelerate growth Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams Proven track record of consistently exceeding team revenue targets and developing high-performing account executives Strong understanding of the startup ecosystem and experience working with high-growth technology companies Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment Strong analytical and problem-solving skills with a data-driven approach to decision making Excellence in cross-functional collaboration and stakeholder management Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions Demonstrated ability to coach and develop talent while maintaining high performance standards 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: $380,000 — $450,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: OnSite About Clarity We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com http://Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform What you’ll actually do 50% Build — design & ship - Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls. - Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting. - Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift. - Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. - Alerting & scoring: Severity/impact ranking, de‑noising, suppression/cool‑downs, routing, and feedback loops. 25% Architect & scale - Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. - Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. - Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. - Participate in on‑call for your area and drive root‑cause analysis with crisp follow‑ups. 15% Collaborate - Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams). - Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase - Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit - Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️ - AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). - 7–10 years building production ML/back‑end systems; 2+ years leading while coding. - Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). - Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. - LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift). - Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. - Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points - DevOps wizardry; GPU/accelerator experience. - Multimodal pipelines (text + voice + screenshots). - Prior experience in contact center/CX analytics or novelty/anomaly systems. - Founder or founding engineer experience

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability Build robust systems for data quality assurance and validation at scale Collaborate with research teams to implement novel data processing architectures Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: 5+ YOE outside of internships Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems Hands-on experience with distributed computing frameworks, particularly Apache Spark Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Advanced degree in Computer Science or related field Experience with language model training infrastructure Background in Data Infrastructure, MLOps, or ML infrastructure Strong candidates may have: Have significant experience building high-throughput fault-tolerant distributed systems Expertise with Python and Rust Passionate about system reliability and performance Are comfortable working with ambiguous requirements and evolving specifications Take ownership of problems and drive solutions independently Are excited about contributing to the development of safe and ethical AI systems Can balance technical excellence with practical delivery Are eager to learn about machine learning research and its infrastructure requirements Sample Projects Designing and implementing distributed computing architecture for web-scale data processing Building scalable infrastructure for model training data preparation Developing fault-tolerant distributed processing systems Implementing new infrastructure components based on research requirements 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. 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: Dhahran, Saudi Arabia Eram Talent, a leading talent acquisition company in the Oil & Energy sector, is seeking an experienced Liaison Man for Onshore Oil Drilling operations. The successful candidate will serve as the vital link between the rig personnel and management, ensuring effective communication, smooth operations, and adherence to safety protocols. In this role, you will be responsible for coordinating onshore drilling activities, managing logistics, and facilitating the flow of information between various teams. Your insights and expertise will contribute significantly to operational efficiency and safety compliance in onshore drilling projects. Responsibilities Act as the main liaison between drilling operations and onshore management, ensuring effective communication and support. Coordinate logistics for personnel and equipment transport, ensuring timely arrival to and from the rig. Monitor drilling operations closely, providing reports and updates to management regarding performance and incidents. Assist in the planning and scheduling of drilling activities and maintenance operations. Ensure compliance with all safety regulations and site-specific policies. Maintain thorough records of operations, inventory, and personnel activities. Promote team building and encourage a safety-first culture among personnel. Requirements Bachelor’s degree in Engineering or a related field preferred; relevant experience will also be considered. A minimum of 5 years of experience in a liaison or coordination role within onshore oil drilling operations. Strong understanding of drilling processes, logistics, and safety procedures. Excellent communication, leadership, and interpersonal skills. Ability to work effectively in high-pressure environments and manage multiple priorities. Proficient in Microsoft Office and other relevant software. Strong organizational skills and attention to detail. Willingness to work in challenging conditions and possible travel to different drilling sites.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve. Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow Set technical strategy and standards for your team's infrastructure Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident Mentor other engineers and help raise the technical bar for the team Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions that other engineers and teams build on top of Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java) Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL Low-level systems experience, such as Linux kernel tuning or eBPF Background in security or privacy engineering best practices Prior experience as a technical lead or mentor for other engineers Deadline to apply: None. Applications are reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: remote ABOUT YOU   Xsolla is seeking a Principal Engineer with deep expertise in Identity and Golang backend development to lead the evolution of our authentication and authorization stack — enabling developers and players to connect safely and effortlessly across the Xsolla ecosystem.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Architect and lead the design of Xsolla’s next-generation identity platform, supporting authentication, authorization, single sign-on (SSO), and account federation across internal and external services. Develop high-performance Golang microservices that manage user identity, access tokens, and permission enforcement at global scale. Collaborate closely with security, DevOps, and platform engineering teams to embed Zero Trust principles and standardize access governance across services. Integrate modern IAM standards and protocols (OAuth2, OIDC, SCIM) to enhance developer experience and partner integrations. Mentor and coach engineering teams on secure service design, identity best practices, and cross-service communication patterns. Partner with product teams to ensure that identity-related features — such as player login, entitlement management, and account linking — are scalable, compliant, and user-friendly. Define and enforce API and data security standards, supporting compliance initiatives. Evaluate and integrate third-party identity frameworks or open-source solutions (e.g., Keycloak, Auth0, Ory, ForgeRock) as part of Xsolla’s hybrid identity strategy. Qualifications & Skills: 10+ years in backend or systems engineering, including 5+ years designing and implementing authentication and authorization services. Expert-level skills in Golang, with experience building and scaling distributed, event-driven microservices. Proven track record with identity federation, token management, and access control systems. In-depth understanding of authentication and authorization standards (OAuth 2.0, OIDC, JWT, SCIM). Solid grasp of security principles, encryption, key management, and secrets management systems (e.g., HashiCorp Vault, AWS KMS). Experience building high-availability systems in Kubernetes-based environments using AWS, or GCP. Strong architectural vision with the ability to influence cross-team design and technology direction. Excellent communication and collaboration skills across distributed teams. Nice to Have: Experience building or contributing to identity systems for gaming or SaaS ecosystems. Familiarity with multi-tenant architectures, ReBAC/ABAC models, and policy-as-code (OPA, AuthZ frameworks). Background in security engineering, DevSecOps, or compliance automation. Contributions to open-source Golang. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Principal Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. The listed range is specific to Los Angeles, CA, and varies based on factors such as location and experience.

Location: Uruguay; Costa Rica; El Salvador; Peru; Ecuador About our Client Our client is a fast-growing vehicle shipping and logistics company on a mission to simplify, accelerate, and improve the vehicle transport experience across North America. They are building an advanced digital platform supported by content, automation, and data. You’ll join a team that values creativity, strategy, and measurable results. The Role We’re looking for a skilled SEO Specialist who combines technical expertise with content strategy to improve our website’s visibility and performance. You’ll handle everything from technical audits and keyword research to on-page optimization and analytics tracking, ensuring our content consistently ranks and converts. Key Responsibilities ·         Conduct complete technical SEO audits to identify and resolve crawl, indexation, and performance issues. ·         Fix technical issues such as 404s, redirects, duplicate tags, canonical errors, and broken links. ·         Manage and optimize sitemaps, robots.txt, metadata, and structured data. ·         Research, plan, and execute keyword strategies aligned with marketing goals. ·         Collaborate with writers to optimize new and existing content for rankings and engagement. ·         Monitor site health, Core Web Vitals, and page speed improvements. ·         Manage GA4, Google Tag Manager, and Search Console to ensure accurate SEO data tracking. ·         Prepare periodic SEO reports with insights, trends, and actionable recommendations. ·         Support backlink cleanup, internal linking improvements, and ongoing content SEO updates. ·         Work closely with the WordPress Developer to implement SEO best practices across all new pages and campaigns. Requirements ·         3–5 years of experience in SEO strategy and technical implementation. ·         Proven ability to fix complex SEO and performance issues. ·         Strong understanding of on-page, off-page, and technical SEO. ·         Skilled in tools such as SEMrush, Ahrefs, Screaming Frog, GA4, GTM, and GSC. ·         Experience tracking performance through dashboards and reports. ·         Familiarity with schema markup, site structure, and keyword optimization. ·         Excellent analytical and communication skills with attention to detail. ·         Strong collaboration skills and ability to work cross-functionally. ·         (Bonus) Experience with HubSpot, WordPress, or other CMS platforms. Tools You’ll Use SEMrush | Ahrefs | Screaming Frog | GA4 | Google Tag Manager | Google Search Console | ClickUp | Google Drive | OneDrive | Slack Benefits ·         Competitive compensation. ·         Full-time remote position with flexible working hours. ·         Opportunity to own SEO strategy and performance for a growing brand. ·         A collaborative team environment where your work directly impacts growth. How to Apply To apply, please include examples of previous SEO projects or case studies showing measurable results

Location: Mexico About our Client Our client is a fast-growing vehicle shipping and logistics company on a mission to simplify, accelerate, and improve the vehicle transport experience across North America. They are building an advanced digital platform supported by content, automation, and data. You’ll join a team that values creativity, strategy, and measurable results. The Role We’re looking for a skilled SEO Specialist who combines technical expertise with content strategy to improve our website’s visibility and performance. You’ll handle everything from technical audits and keyword research to on-page optimization and analytics tracking, ensuring our content consistently ranks and converts. Key Responsibilities ·         Conduct complete technical SEO audits to identify and resolve crawl, indexation, and performance issues. ·         Fix technical issues such as 404s, redirects, duplicate tags, canonical errors, and broken links. ·         Manage and optimize sitemaps, robots.txt, metadata, and structured data. ·         Research, plan, and execute keyword strategies aligned with marketing goals. ·         Collaborate with writers to optimize new and existing content for rankings and engagement. ·         Monitor site health, Core Web Vitals, and page speed improvements. ·         Manage GA4, Google Tag Manager, and Search Console to ensure accurate SEO data tracking. ·         Prepare periodic SEO reports with insights, trends, and actionable recommendations. ·         Support backlink cleanup, internal linking improvements, and ongoing content SEO updates. ·         Work closely with the WordPress Developer to implement SEO best practices across all new pages and campaigns. Requirements ·         3–5 years of experience in SEO strategy and technical implementation. ·         Proven ability to fix complex SEO and performance issues. ·         Strong understanding of on-page, off-page, and technical SEO. ·         Skilled in tools such as SEMrush, Ahrefs, Screaming Frog, GA4, GTM, and GSC. ·         Experience tracking performance through dashboards and reports. ·         Familiarity with schema markup, site structure, and keyword optimization. ·         Excellent analytical and communication skills with attention to detail. ·         Strong collaboration skills and ability to work cross-functionally. ·         (Bonus) Experience with HubSpot, WordPress, or other CMS platforms. Tools You’ll Use SEMrush | Ahrefs | Screaming Frog | GA4 | Google Tag Manager | Google Search Console | ClickUp | Google Drive | OneDrive | Slack Benefits ·         Competitive compensation. ·         Full-time remote position with flexible working hours. ·         Opportunity to own SEO strategy and performance for a growing brand. ·         A collaborative team environment where your work directly impacts growth. How to Apply To apply, please include examples of previous SEO projects or case studies showing measurable results

Location: Colombia About our Client Our client is a fast-growing vehicle shipping and logistics company on a mission to simplify, accelerate, and improve the vehicle transport experience across North America. They are building an advanced digital platform supported by content, automation, and data. You’ll join a team that values creativity, strategy, and measurable results. The Role We’re looking for a skilled SEO Specialist who combines technical expertise with content strategy to improve our website’s visibility and performance. You’ll handle everything from technical audits and keyword research to on-page optimization and analytics tracking, ensuring our content consistently ranks and converts. Key Responsibilities ·         Conduct complete technical SEO audits to identify and resolve crawl, indexation, and performance issues. ·         Fix technical issues such as 404s, redirects, duplicate tags, canonical errors, and broken links. ·         Manage and optimize sitemaps, robots.txt, metadata, and structured data. ·         Research, plan, and execute keyword strategies aligned with marketing goals. ·         Collaborate with writers to optimize new and existing content for rankings and engagement. ·         Monitor site health, Core Web Vitals, and page speed improvements. ·         Manage GA4, Google Tag Manager, and Search Console to ensure accurate SEO data tracking. ·         Prepare periodic SEO reports with insights, trends, and actionable recommendations. ·         Support backlink cleanup, internal linking improvements, and ongoing content SEO updates. ·         Work closely with the WordPress Developer to implement SEO best practices across all new pages and campaigns. Requirements ·         3–5 years of experience in SEO strategy and technical implementation. ·         Proven ability to fix complex SEO and performance issues. ·         Strong understanding of on-page, off-page, and technical SEO. ·         Skilled in tools such as SEMrush, Ahrefs, Screaming Frog, GA4, GTM, and GSC. ·         Experience tracking performance through dashboards and reports. ·         Familiarity with schema markup, site structure, and keyword optimization. ·         Excellent analytical and communication skills with attention to detail. ·         Strong collaboration skills and ability to work cross-functionally. ·         (Bonus) Experience with HubSpot, WordPress, or other CMS platforms. Tools You’ll Use SEMrush | Ahrefs | Screaming Frog | GA4 | Google Tag Manager | Google Search Console | ClickUp | Google Drive | OneDrive | Slack Benefits ·         Competitive compensation. ·         Full-time remote position with flexible working hours. ·         Opportunity to own SEO strategy and performance for a growing brand. ·         A collaborative team environment where your work directly impacts growth. How to Apply To apply, please include examples of previous SEO projects or case studies showing measurable results

Location: Brazil About our Client Our client is a fast-growing vehicle shipping and logistics company on a mission to simplify, accelerate, and improve the vehicle transport experience across North America. They are building an advanced digital platform supported by content, automation, and data. You’ll join a team that values creativity, strategy, and measurable results. The Role We’re looking for a skilled SEO Specialist who combines technical expertise with content strategy to improve our website’s visibility and performance. You’ll handle everything from technical audits and keyword research to on-page optimization and analytics tracking, ensuring our content consistently ranks and converts. Key Responsibilities ·         Conduct complete technical SEO audits to identify and resolve crawl, indexation, and performance issues. ·         Fix technical issues such as 404s, redirects, duplicate tags, canonical errors, and broken links. ·         Manage and optimize sitemaps, robots.txt, metadata, and structured data. ·         Research, plan, and execute keyword strategies aligned with marketing goals. ·         Collaborate with writers to optimize new and existing content for rankings and engagement. ·         Monitor site health, Core Web Vitals, and page speed improvements. ·         Manage GA4, Google Tag Manager, and Search Console to ensure accurate SEO data tracking. ·         Prepare periodic SEO reports with insights, trends, and actionable recommendations. ·         Support backlink cleanup, internal linking improvements, and ongoing content SEO updates. ·         Work closely with the WordPress Developer to implement SEO best practices across all new pages and campaigns. Requirements ·         3–5 years of experience in SEO strategy and technical implementation. ·         Proven ability to fix complex SEO and performance issues. ·         Strong understanding of on-page, off-page, and technical SEO. ·         Skilled in tools such as SEMrush, Ahrefs, Screaming Frog, GA4, GTM, and GSC. ·         Experience tracking performance through dashboards and reports. ·         Familiarity with schema markup, site structure, and keyword optimization. ·         Excellent analytical and communication skills with attention to detail. ·         Strong collaboration skills and ability to work cross-functionally. ·         (Bonus) Experience with HubSpot, WordPress, or other CMS platforms. Tools You’ll Use SEMrush | Ahrefs | Screaming Frog | GA4 | Google Tag Manager | Google Search Console | ClickUp | Google Drive | OneDrive | Slack Benefits ·         Competitive compensation. ·         Full-time remote position with flexible working hours. ·         Opportunity to own SEO strategy and performance for a growing brand. ·         A collaborative team environment where your work directly impacts growth. How to Apply To apply, please include examples of previous SEO projects or case studies showing measurable results

Location: Argentina About our Client Our client is a fast-growing vehicle shipping and logistics company on a mission to simplify, accelerate, and improve the vehicle transport experience across North America. They are building an advanced digital platform supported by content, automation, and data. You’ll join a team that values creativity, strategy, and measurable results. The Role We’re looking for a skilled SEO Specialist who combines technical expertise with content strategy to improve our website’s visibility and performance. You’ll handle everything from technical audits and keyword research to on-page optimization and analytics tracking, ensuring our content consistently ranks and converts. Key Responsibilities ·         Conduct complete technical SEO audits to identify and resolve crawl, indexation, and performance issues. ·         Fix technical issues such as 404s, redirects, duplicate tags, canonical errors, and broken links. ·         Manage and optimize sitemaps, robots.txt, metadata, and structured data. ·         Research, plan, and execute keyword strategies aligned with marketing goals. ·         Collaborate with writers to optimize new and existing content for rankings and engagement. ·         Monitor site health, Core Web Vitals, and page speed improvements. ·         Manage GA4, Google Tag Manager, and Search Console to ensure accurate SEO data tracking. ·         Prepare periodic SEO reports with insights, trends, and actionable recommendations. ·         Support backlink cleanup, internal linking improvements, and ongoing content SEO updates. ·         Work closely with the WordPress Developer to implement SEO best practices across all new pages and campaigns. Requirements ·         3–5 years of experience in SEO strategy and technical implementation. ·         Proven ability to fix complex SEO and performance issues. ·         Strong understanding of on-page, off-page, and technical SEO. ·         Skilled in tools such as SEMrush, Ahrefs, Screaming Frog, GA4, GTM, and GSC. ·         Experience tracking performance through dashboards and reports. ·         Familiarity with schema markup, site structure, and keyword optimization. ·         Excellent analytical and communication skills with attention to detail. ·         Strong collaboration skills and ability to work cross-functionally. ·         (Bonus) Experience with HubSpot, WordPress, or other CMS platforms. Tools You’ll Use SEMrush | Ahrefs | Screaming Frog | GA4 | Google Tag Manager | Google Search Console | ClickUp | Google Drive | OneDrive | Slack Benefits ·         Competitive compensation. ·         Full-time remote position with flexible working hours. ·         Opportunity to own SEO strategy and performance for a growing brand. ·         A collaborative team environment where your work directly impacts growth. How to Apply To apply, please include examples of previous SEO projects or case studies showing measurable results

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.