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1097 open positions
Safeguards Enforcement Analyst, Ban Evasion & Recidivism
Anthropic
As a Safeguards Enforcement Analyst on the account abuse team, you will build and execute enforcement workflows to ensure product safety, with a primary focus on detecting and mitigating potential harm. Your initial responsibilities will center on recidivism, ensuring that bans are effective and that banned actors cannot easily re-register. This role involves identifying returning banned actors, linking accounts across different identities, and closing the most critical re-registration pathways. The scope includes high-stakes areas like preventing evasion of child-safety enforcement bans, where the consequences of failure are severe. This position has the potential to expand into broader enforcement areas over time, contributing to Anthropic's mission of creating safe and beneficial AI systems.
Safeguards Enforcement Analyst, Account Takeover & Credential Abuse
Anthropic
As a Safeguards Enforcement Analyst on the account abuse team, you will build and execute enforcement workflows to ensure product safety, with a primary focus on detecting and mitigating account compromise. This role involves distinguishing between compromised customer accounts and malicious actors, addressing the growing threat of stolen credentials and leaked keys. You will own the end-to-end process, including detection, revocation, user notification, remediation, and access restoration criteria, transforming incident response into a scalable program. The position may expand to cover broader enforcement areas, contributing to Anthropic's mission of developing safe and beneficial AI systems.
Safeguards Enforcement Analyst, Access Controls & Identity
Anthropic
As a Safeguards Enforcement Analyst on the account abuse team, you will build and execute enforcement workflows to ensure product safety, with a primary focus on detecting and mitigating potential harm. Your responsibilities will include driving enforcement in areas such as access controls and identity verification, owning the policy layer for these systems, and determining user requirements for verification. This role operates at the intersection of policy, operations, and regulatory exposure, with potential to expand into broader enforcement areas over time. You will play a key role in shaping policy enforcement to enable users to safely interact with and build upon our products in a harmless, helpful, and honest manner.
Director, Investor Relations
Anthropic
Anthropic is seeking a Director of Investor Relations to manage the company's engagement with investors and the financial community. This role involves building the investor engagement and investment narrative, informing investors about Anthropic's mission, strategy, financial performance, and competitive advantages. The ideal candidate will possess analytical rigor, a background in capital markets, and a keen interest in technology and AI developments. They will be responsible for understanding investor perspectives and the broader industry, providing strategic insights to leadership, and distilling complex financial and technical concepts into clear investor narratives. This position requires comfort operating autonomously and building new processes.
Research Engineer, Chip Design RL (Reinforcement Learning)
Anthropic
Anthropic is seeking a Research Engineer for its Code RL team to advance AI models' ability to design silicon. This role involves leveraging chip design expertise to create tasks and signals for models, focusing on hardware design domains. The position is at the intersection of cutting-edge research and engineering excellence, with a commitment to building high-quality, scalable systems that push the boundaries of AI capabilities.
Technical Enablement Lead, Claude Platform
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Claude Platform team is looking for a Technical Enablement Lead to own the end-to-end enablement process for Anthropic's go-to-market teams. This role involves creating demos, hands-on labs, and technical curriculum to ensure field teams can confidently showcase the Claude Developer Platform. You will collaborate with product teams before features launch to prepare the field and translate new platform capabilities into accessible content. The ideal candidate is an engineer who excels at teaching and has experience shipping products, understanding the impact of effective demos and training.
Safeguards Enforcement Analyst, Age-Appropriate Design
Anthropic
As a Safeguards Enforcement Analyst on the user well-being team, you will build and execute enforcement workflows to ensure product safety, focusing on detecting and mitigating potential harm, particularly concerning age appropriateness. Your role involves ensuring consumer products reach the correct audiences through detection signals, verification paths, and appeals workflows, and partnering with sales and platform teams to guide third-party developers on age-appropriate API usage. This position may expand to broader user well-being enforcement areas, contributing to Anthropic's mission of safe and beneficial AI.
Staff+ Application Security Engineer - M&A
Anthropic
Anthropic's Application Security team is responsible for securing the systems that build, serve, and operate Claude. This role will establish and lead the security due diligence and integration function for Anthropic's acquisitions. You will assess target companies' security postures pre-close, provide security risk assessments to leadership, and ensure acquired systems meet Anthropic's security standards post-close. This is a dedicated role to formalize the M&A security playbook, risk model, and tooling, making the process repeatable and scalable. While the primary focus is M&A security, you will also be an active member of the Application Security team, participating in team rituals, on-call rotations, and contributing to core AppSec projects when deal flow is quiet. The role requires comfort with ambiguity, time-sensitive work, and the ability to quickly assess unfamiliar systems under pressure.
Safeguards Enforcement Analyst, Integrity & Authenticity
Anthropic
Anthropic is seeking a Safeguards Analyst focused on Integrity & Authenticity to build and execute enforcement workflows for their AI products. This role will concentrate on detecting and mitigating misuse of AI systems for coordinated inauthentic behavior, election manipulation, and targeting/surveillance. The work involves addressing AI-enabled influence operations, disinformation campaigns, electoral interference, and the use of AI for stalking and profiling. The analyst will play a key role in shaping policy enforcement to ensure safe and beneficial AI interactions. Please note, this role may involve exposure to sensitive content and require weekend/holiday availability, especially during major electoral events.
Safeguards Enforcement Analyst, Cyber Harm
Anthropic
As an Enforcement Analyst, you will be responsible for reviewing content and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your initial focus will center on reviewing flagged activity related to cyberattacks, malware development, and offensive exploitation; however, this position may later expand to include broader areas of enforcement. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Research Engineer, Model Evaluations
Anthropic
We are seeking Research Engineers to develop evaluations that will define and measure Claude's capabilities and personality. Your work will translate abstract concepts of intelligence into concrete, verifiable metrics for researchers, leadership, and the public. You will design and implement evaluations across Claude's full spectrum of abilities and build the scalable infrastructure to run them. This role involves close collaboration with researchers throughout the development of new capabilities, from defining measurement criteria to interpreting results against live training checkpoints. The ultimate goal is to establish Anthropic as the leader in highly characterized AI systems, with performance rigorously measured and validated across critical tasks.
$40k - $57k
Red Team Engineer, Safeguards
Anthropic
Anthropic's Safeguards team is looking for a Red Team Engineer to ensure the safety of deployed AI systems and products. This role involves taking an adversarial approach to identify vulnerabilities before they can be exploited, covering technical infrastructure and emergent risks from advanced AI capabilities. While drawing on traditional security practices, the focus is on AI-specific safety implications and novel abuse scenarios. You will investigate potential misuse, from account manipulation to exploiting product features, and simulate sophisticated threat actors using multiple attack vectors.
Partner Manager, Global Health
Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Beneficial Deployments team ensures AI reaches and benefits communities in need by partnering with nonprofits, governments, and mission-driven organizations. This role will drive the clinical AI research agenda for Anthropic's global health work, informing tools and generating evidence for their effectiveness. You will define how clinical AI tools are validated for low- and middle-income countries (LMICs) and shape tools and safeguards for Claude's safe and usable clinical application. This is a hands-on role requiring close collaboration with research, evals, and product teams to translate real-world care delivery knowledge into evaluations, safeguards, and product improvements.
Finance Systems Integration Engineer
Anthropic
We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development. You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.
Engineering Manager, Safeguards Interventions
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Safeguards team ensures our models and products are developed and deployed safely. This role manages the Interventions team, which is responsible for the systems that operate between our detection stack and the user across all Anthropic surfaces. The team's work is crucial for enabling products to grow safely by evolving and driving the quality of interventions for areas like bio, cyber, acceptable usage, child safety, and copyright.
Data Operations Manager, Human Data
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As the Data Operations Manager, you will be instrumental in building and scaling data operations for research teams focused on frontier AI capabilities. This role involves partnering with researchers to define and execute data strategies, managing vendor relationships, and overseeing the entire data pipeline from inception to production. While a strong understanding of what constitutes high-quality training data is important, the primary focus will be on strategic planning and execution to ensure the data operations directly contribute to model performance in critical areas like tool use accuracy, prompt injection robustness, and safety alignment.
Threat Intel Manager, Model Exploitation & Fraud
Anthropic
<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2><strong>About the role</strong></h2> <p>We are looking for a threat intel manager to build and run our Model Exploitation & Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation, unauthorized access, account farming and reseller abuse, and fraud and scam operations.</p> <p>You will set the strategy for the mission area, hire and lead a small team of technical investigators, and build the systems, processes, and partnerships that let the team scale. The team includes established senior investigators who own our deepest technical casework, tracing distillation networks, reseller and proxy ecosystems, and financially motivated actors across first-party surfaces and third-party platforms; your job is to direct, resource, and amplify that work, not duplicate it. This area carries regular U.S. government engagement and requires deeply understanding external black market ecosystems and how they interact with our systems.</p> <p><em>Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.</em></p> <h2><strong>Key responsibilities</strong></h2> <ul> <li>Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share</li> <li>Hire, manage, and develop a team of technical threat investigators; set the quality bar for casework and intelligence reporting</li> <li>Design clear lanes between this role and the team's senior individual contributors: strategy, people leadership, and program ownership sit with you, while ownership of the deepest technical investigations and tradecraft stays with the senior experts closest to the work</li> <li>Capable of independently leading complex investigations. </li> <li>Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&D usage, unauthorized access, coordinated account abuse, and fraud/scam networks, partnering with the senior investigators who lead the deepest technical casework and clearing blockers from their path</li> <li>Drive the redesign of triage for a very high-volume detection pipeline: partner with investigators and engineering to build abuse signals, clustering, and agentic investigation workflows that separate sophisticated actors from noise</li> <li>Expand the team's coverage into fraud and scams, building the detection and investigation playbooks from the ground up</li> <li>Own the external engagement program for the area, including regular intelligence sharing with U.S. government partners and industry peers, ensuring the investigators driving the work are visible in those channels</li> <li>Anticipate how resellers, proxies, and third-party platforms change the abuse surface, and shape coverage accordingly</li> <li>Work with policy, enforcement, and engineering to convert findings into bans, product mitigations, and safety-by-design improvements</li> <li>Define and report the team's metrics; brief Safeguards and company leadership on the threat landscape</li> </ul> <h2><strong>Minimum qualifications</strong></h2> <ul> <li>Have led and managed investigative, fraud, platform integrity, or threat intelligence teams, ideally ones built around senior, deeply specialized individual contributors</li> <li>Have strong domain fluency in scaled abuse — fraud patterns, account abuse, unauthorized access, or platform exploitation economics — sufficient to set priorities, pressure-test findings, and earn the confidence of expert investigators</li> <li>Are proficient enough in SQL and Python to review data-heavy casework, pressure-test conclusions, and provide surge capacity when the team needs it</li> <li>Have experience overseeing investigations that track threat actors across surface, deep, and dark web environments, including reseller and access-broker communities</li> <li>Have working familiarity with large language models and a strong grasp of how models can be distilled, extracted, or exploited at scale</li> <li>Have built processes, detection systems, or programs from scratch and can show what changed because of them</li> <li>Communicate crisply with executives, engineers, and external partners alike</li> </ul> <h2><strong>Preferred qualifications</strong></h2> <ul> <li>Experience at a major technology platform on trust and safety, fraud, or abuse investigations at scale</li> <li>Background in financial crime investigation or fraud analytics</li> <li>Experience working directly with U.S. government stakeholders on threat reporting</li> <li>A track record of partnering with, growing, and retaining senior technical specialists, including defining clear scope between management and senior IC tracks</li> <li>Fluency in Mandarin Chinese and/or Russian with nuanced regional and geopolitical context</li> <li>Active Top Secret security clearance</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below. </p> <p>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.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$375,000</span><span class="divider">—</span><span>$455,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study: </strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> 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.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong> 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.</p> <p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> 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.<br><br><strong data-stringify-type="bold">Your safety matters to us.</strong> 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 <u data-stringify-type="underline"><a class="c-link c-link--underline" href="http://anthropic.com/careers" target="_blank" data-stringify-link="http://anthropic.com/careers" data-sk="tooltip_parent" data-remove-tab-index="true">anthropic.com/careers</a></u> directly for confirmed position openings.</p> <h2><strong>How we're different</strong></h2> <p>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.</p> <p>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.</p> <h2><strong>Come work with us!</strong></h2> <p>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. <strong data-stringify-type="bold">Guidance on Candidates' AI Usage:</strong> Learn about <a class="c-link" href="https://www.anthropic.com/candidate-ai-guidance" target="_blank" data-stringify-link="https://www.anthropic.com/candidate-ai-guidance" data-sk="tooltip_parent">our policy</a> for using AI in our application process.</p></div>
Threat Intel Manager, Influence Operations & Surveillance
Anthropic
Anthropic is seeking a Threat Intel Manager to establish and lead their Influence Operations & Surveillance team. This role is crucial for detecting, investigating, and disrupting the misuse of Anthropic's AI systems by authoritarian states and commercial spyware for influence operations, coordinated inauthentic behavior, and surveillance. This is a foundational leadership position where you will develop the team's detection capabilities, define the strategy for countering state-linked information manipulation and surveillance misuse, and handle complex investigations. Please note, this role may involve exposure to sensitive content and require weekend/holiday availability.
Threat Intel Manager, CBRN-E & Advanced Weapons
Anthropic
Anthropic is seeking a Threat Intel Manager to establish and lead a new team focused on Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats and advanced weapons. This role involves maturing the team from its current stage into a robust investigative program, hiring specialized investigators, and enhancing threat detection capabilities. The manager will personally lead critical investigations, assess potential misuse of AI systems for weapon development, and engage with government, biosecurity, and scientific stakeholders. This position may involve exposure to sensitive content and require weekend/holiday on-call responsibilities.
Staff Software Engineer, Labs: Applied AI
Anthropic
Anthropic is building AI systems that are safe, beneficial, and transformative, aiming to develop AI that benefits humanity. Applied AI is a new exploration within Anthropic Labs, focused on bringing frontier AI capabilities to professionals in less software-native roles. This role involves taking advanced AI and turning it into user-friendly applications, rapidly prototyping new experiences, and partnering with researchers, domain experts, and users to shape the direction of this exploration. The ideal candidate is an entrepreneurial engineer comfortable with ambiguity, willing to iterate quickly, and energized by building in uncharted territory.
Staff + Senior Software Engineer, Inference Deployment
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. Our growing team of researchers, engineers, and policy experts collaborates to create these advanced AI systems. The Inference team is central to this mission, responsible for building and maintaining the critical systems that serve Claude to millions of users globally. We manage the entire stack, from intelligent request routing to fleet-wide orchestration across diverse AI accelerators, ensuring Claude is brought to life efficiently and reliably.
Product Management, Research
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. As a Product Manager for the Research team, you will be responsible for the ideation and deployment of new models and products, working closely with research teams to productize applied research and identify customer-driven use cases. We are looking for individuals passionate about developing safe and beneficial AI technologies, who thrive in ambiguous environments and can uncover non-obvious use cases for nascent technologies, connecting advanced technology to products that deliver real-world value. The ideal candidate will bridge research and ambitious product experimentation, with the ability to create and grow new product categories enabled by AI.
Staff+ Software Engineer, Databases
Anthropic
We are seeking experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you will architect and operate systems that enable millions of users to interact with Claude, while also supporting frontier AI research workloads. You will help define Anthropic's database strategy by designing systems capable of handling billions of API requests, building storage solutions that operate seamlessly across GCP, AWS, and various deployment models, and creating a reliable data layer to accelerate research velocity. The team focuses on the core database platform, data movement, and caching infrastructure.
Researcher, Education Labs
Anthropic
Education Labs studies how people learn and build capability with AI, aiming to close the loop between discoveries and accessible learning tools. As the first dedicated education researcher, you will strengthen the team's measurement of learning and AI fluency to ensure trustworthy evidence from experiments. You will design instruments, build tools, run studies, and translate findings into product experiments and action research in real learning settings. This hands-on research role is embedded in a small team where you will publish, influence thinking across Anthropic, and help decide on scaling, handoff, or discontinuation of initiatives. The focus is on learning experiences that progressively enhance capability, curiosity, and empowerment.
Applied AI Architect, Partnerships
Anthropic
As a Partners Solutions Architect on the Applied AI team, you will be a Pre-Sales architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs), and cloud partners (AWS and GCP). Your role will be to strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term Go-To-Market strategy. You will act as a technical thought partner, providing expertise to understand the partner landscape, drive strategic programs, and identify opportunities to deepen partner technical capabilities. You will also collaborate with partners to develop joint solutions and codify reference architectures, and intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle.
Industry Principal, Life Sciences
Anthropic
Anthropic is seeking a Life Sciences Industry Advisor to be the technical and scientific representative for Claude to leading pharmaceutical companies, biotechs, and research institutions. This role involves combining deep life sciences domain expertise with technical credibility to help customers develop transformative AI solutions across the drug discovery and development lifecycle. You will engage directly with senior leaders at customer organizations to address critical challenges, from literature synthesis and hypothesis generation to bioinformatics, clinical trial design, and regulatory submission. Your insights will directly influence Anthropic's product roadmap and research, while also enabling the go-to-market teams with essential domain expertise and thought leadership.
Research Engineer, Life Sciences
Anthropic
Anthropic is seeking an exceptional Research Engineer to join its Life Sciences team. This role focuses on accelerating progress in life sciences through AI, from early discovery to translation. You will leverage deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies, pushing the boundaries of AI in biology. Working at the intersection of AI and biological sciences, you will develop rigorous methods to measure and improve model performance on complex scientific tasks, collaborating with researchers and engineers to build AI systems for all phases of research and development, while upholding Anthropic's commitment to safety and beneficial impact. Previous experience in life sciences is welcome but not required.
Staff+ Software Engineer, Vertical AI Products (Multiple Roles)
Anthropic
Anthropic's Verticals team is building AI products tailored for specific industries like financial services, science, and healthcare, as well as broader enterprise applications. Many of these teams are in their early stages, offering a unique opportunity to shape both the product and its architecture. For established products, they are already in use by enterprise customers and experiencing rapid growth. As a Staff+ Software Engineer, you will be a technical leader responsible for the end-to-end customer experience, collaborating with research to productionize model capabilities, and taking ownership of product development.
Staff+ Software Engineer, Developer Acceleration
Anthropic
Anthropic is seeking talented and experienced Staff+ Software Engineers to join the Developer Acceleration team within the Developer Productivity organization. This team is responsible for the infrastructure that enables thousands of employees to be productive via agents, directly impacting the velocity and quality of Anthropic's research and engineering development. You will define how AI transforms work and build the future of agentic productivity, owning areas like the Agent Runtime Platform and Knowledge systems for providing context to agents and humans.
Data Scientist, GTM
Anthropic
As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy. You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth.
Research Engineer, Computer Use
Anthropic
The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork.
Senior Software Security Engineer
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial for users and society. The Security Engineering team is crucial in protecting these AI systems and maintaining user trust. This role involves defining authentication architecture, designing cryptographic foundations for model weights and training data, and leading the developer security program. The team collaborates across identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, with opportunities to contribute across these areas based on strengths and priorities.
Research Engineer, Visual Knowledge Work
Anthropic
We are seeking research engineers with a strong computer vision background to enhance the visual and spatial reasoning capabilities of our state-of-the-art Claude models. This role involves research, development, and evaluation, taking a full-stack approach across pretraining, RL, and runtime techniques. You will collaborate closely with the product organization to ensure that vision improvements directly impact Claude's performance on real-world tasks and address customer challenges.
Manager, Applied AI Engineering, Beneficial Deployments (Life Sciences)
Anthropic
Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on accelerating biological discovery and drug development through AI. As the Applied AI Engineering Manager for Life Sciences, you will lead a team of engineers who deploy AI solutions for scientific organizations. You will work closely with customers to understand their workflows and build prototypes, integrations, and agents that enable AI to perform meaningful work in labs and clinics. This is a hands-on leadership position requiring you to grow and manage the team, ensure technical success with strategic accounts, and translate field learnings into product improvements. The role involves building robust infrastructure to make messy biological data reliably accessible to AI agents, ensuring correctness, reproducibility, and auditability of results.
Data Scientist, Supply
Anthropic
Anthropic is seeking a Data Scientist to optimize compute allocation, a critical decision for the company. This role addresses two key problems: matching volatile demand to finite chip capacity and understanding the causal impact of various levers on user outcomes. You will build analytical frameworks, metrics, and causal inference models to inform these decisions, translating insights into operational changes. This position is ideal for someone who excels at resource allocation, systems thinking, and driving tangible results in production environments, working closely with infrastructure engineers and presenting findings to senior leadership.
Commercial Counsel, SPARC
Anthropic
Anthropic is seeking a Commercial Counsel, SPARC (Safety, Policy, and Research Contracts) to join its legal team. This role will be instrumental in shaping how advanced AI technology is delivered to users, researchers, and enterprises globally. You will collaborate with experienced colleagues as strategic partners, focusing on cutting-edge AI safety and research agreements, including threat-sharing frameworks and collaborations that advance responsible AI development standards. Additionally, you will support Go-to-Market teams by handling enterprise agreements and customer negotiations. This is a prime opportunity for a driven attorney to gain deep expertise in commercial transactions while directly contributing to the development of responsible AI.
Applied AI Architect, Industries
Anthropic
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Legal Program Manager, Contracts and Governance
Anthropic
Anthropic is seeking an experienced Legal Program Manager to join our Commercial Legal team, focused on contracts and governance. This role is central to Anthropic’s compliance efforts on the commercial side, embedding deeply in sell-side contracting processes and helping build the controls, workflows, and governance infrastructure that revenue-generating activities require as the company matures. You will sit at the intersection of Legal, Finance, Revenue Operations, Sales, Partnerships, Engineering, and Accounting, ensuring commercial contracting practices meet governance and compliance standards, with an emphasis on revenue recognition. This is a high-visibility role where you will operate as a player-coach, managing and improving contracting processes while building scalable systems, templates, and playbooks.
Research Product Manager, Model Behaviors
Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. As a Product Manager for Model Behaviors, you will partner with the Alignment Finetuning team to define and shape Claude's character, behaviors, and reinforcement signals. This role directly influences how millions of people experience AI by systematically identifying high-priority behavioral improvements, coordinating across Research, Product, and Safeguards teams, and accelerating the ability to ship well-aligned models. The ideal candidate possesses deep user empathy and the judgment to navigate nuanced behavior questions.
Legal Program Manager, Compute & Infrastructure
Anthropic
Anthropic is seeking an exceptional Legal Program Manager to serve as the operational backbone of contracting for the Compute and Infrastructure team. This role will manage a high volume of procurement and vendor agreements, including datacenter colocation, lease, and build-to-suit agreements; hardware, chip, and network-equipment procurement; and construction, facilities, and operations-and-maintenance (O&M) contracts. You will build scalable contracting processes, including templates, playbooks, intake and approval workflows, and contract lifecycle management, to support the company's infrastructure buildout. This position owns the system, throughput, and visibility for all agreements from intake through signature.
Frequently asked questions
What counts as an AI Engineering job?
AI Job Board lists engineering roles that build, deploy, or operate AI/ML systems — including LLM engineering, RAG (retrieval-augmented generation), AI agents, prompt engineering, AI infrastructure and MLOps, model serving/inference, and fine-tuning. It excludes non-engineering functions like AI sales or marketing roles.
What is the difference between an AI Engineer and a Machine Learning Engineer?
An AI Engineer typically builds applications on top of existing models — LLM integration, RAG pipelines, agent orchestration, and prompt design. A Machine Learning Engineer more often trains, fine-tunes, or productionizes custom models. Many companies use the titles interchangeably, so search both when browsing.
Does AI Job Board include AI infrastructure and MLOps roles?
Yes. Titles such as AI Infrastructure Engineer, ML Platform Engineer, GPU Infrastructure Engineer, Inference Engineer, MLOps Engineer, and AI Site Reliability Engineer are all covered — these roles focus on the systems that serve and scale AI models rather than building models themselves.
Are remote AI and ML jobs available?
Yes. Filter by "Remote" on the jobs page to see fully remote AI/ML engineering roles, or browse the remote jobs feed directly.
What skills are most in demand for AI engineering roles?
The most commonly requested skills are LLM APIs (OpenAI, Anthropic, Gemini), RAG and vector databases (Pinecone, Weaviate, Qdrant), agent frameworks (LangGraph, CrewAI, AutoGen), inference/serving tools (vLLM, Ray Serve, TensorRT-LLM), and fine-tuning. Use the skill filters on the jobs page to browse by specific technology.
How fresh are the job listings?
Listings are sourced continuously from company career pages and refreshed automatically. Each job shows when it was posted, and the sitemap and API expose last-updated timestamps for every posting.
How much do AI Engineers get paid?
Compensation varies widely by role, seniority, and location. Where employers disclose a salary range, it is shown directly on the job listing — filter by salary range on the jobs page to narrow results to your target compensation.