Python Jobs

Anthropic

As an Applied AI team member, you will serve as a Pre-Sales architect, acting as a trusted technical advisor to large enterprises. Your role involves helping them understand the value of Claude and envision its successful integration into their technology stack. You will combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while upholding high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment, leveraging your expertise to help them understand Claude's capabilities, develop evaluations, and design scalable architectures.

Anthropic

Anthropic is seeking a Technical Documentation and Content Engineer to own the documentation for Claude apps. This role involves more than traditional technical writing, focusing on unifying the documentation estate across multiple product surfaces. You will be responsible for the architecture, standards, and engineered systems that maintain high quality at scale. This is a content and systems ownership role where you will curate content, set quality bars, and build automation for review, maintenance, and quality enforcement. You will collaborate with engineers building documentation tooling.

Anthropic

Anthropic's Environments organization is responsible for building and maintaining the infrastructure that enhances Claude's capabilities through reinforcement learning. This includes developing frameworks for researchers to create environments and managing the infrastructure that runs them, with a core mission to productionize research. The role involves embedding with research teams to understand their workflows and designing frameworks and APIs that accelerate their progress, ensuring these systems are understandable, ownable, and maintainable. A key aspect is also ensuring the health, maintainability, monitoring, and ease of triage for production RL runs.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. This role focuses on the engineering aspects of reinforcement learning for Claude's coding capabilities, involving the creation and scaling of agentic coding environments. You will have significant influence on technical direction and standards, embedding with research teams to understand their needs, build supporting frameworks and infrastructure, and then transfer ownership of these well-maintained systems. The role also includes ensuring the ongoing health and maintainability of production RL runs, including monitoring and triage tooling. The team's work spans client-side sandboxed execution for agentic RL, large-scale data processing, dataset lifecycle management, and the frameworks researchers use to build environments. You will focus on areas where your deep expertise is most valuable, particularly if you have strong Python skills, a keen eye for API and framework design, and experience with complex system failures.

Anthropic

Anthropic is seeking an experienced tech lead to join its Evals Infrastructure team. This role involves building and managing the systems that measure the capabilities of AI models, ensuring these evaluations are fast, reliable, and trustworthy at scale. You will work at the intersection of inference, research, and infrastructure engineering, orchestrating large-scale distributed systems for frontier model evaluations, developing researcher harnesses, and ensuring the reproducibility and interpretability of results. Your work will directly influence the development of AI systems and their alignment with human interests.

Anthropic

Anthropic's Safeguards team is responsible for developing systems that detect and mitigate misuse of AI models. This role focuses on building and owning the infrastructure that supports the research efforts of this team. You will create the tooling, pipelines, and abstractions that enable researchers to run experiments, train detection methods, and select detections for launch efficiently and reliably. This position bridges the gap between research and production, ensuring fast iteration for researchers and dependable results for detection systems as models evolve. The ideal candidate will have a proven ability to solve large-scale systems and data problems and a strong desire to deepen their machine learning expertise.

Anthropic

Anthropic's Tax Technology team, within Finance Systems, is seeking a Tax Technologist to build and own the systems that ensure all revenue and purchasing transactions are bookable, taxable, and auditable. This role involves writing integrations, tooling, and production code to connect tax systems with Anthropic's billing, ERP, and data warehouse. You will work across various tax domains including indirect tax, corporate income tax, withholding tax, R&D credits, and transfer pricing. As a foundational hire, you will collaborate closely with the Tax Technology Lead and cross-functional partners in Tax, Data Science, Billing Engineering, and Product. A key aspect of this role will be developing and hardening tax-specific tooling and audit-ready evidence pipelines to support business growth. Future opportunities include leveraging Claude to automate tax processes end-to-end and building impactful internal products for the Tax team.

Anthropic

As a Product Manager for the Research team at Anthropic, you will own the ideation and deployment of new models and products as we advance frontier, safe AI technology. You will work closely with our research teams to help productize credible applied research and identify high-potential use cases grounded in customer needs. We are looking for someone passionate about developing safe and beneficial artificial intelligence technologies. You thrive in ambiguous environments and can uncover latent, non-obvious use cases for nascent technologies, bringing these insights back to research. Your curiosity about user needs enables you to connect advanced technology to products that deliver real-world value. We seek experienced founders and product managers who can bridge research and ambitious product experimentation, with the ability to create and grow entirely new product categories enabled by AI.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Capacity Engineering team plays a crucial role in managing one of the industry's largest and fastest-growing infrastructure fleets. This team is responsible for ensuring all infrastructure resources are accounted for, well-utilized, and efficiently allocated. As an engineer on this team, you will develop the production systems that power these efforts, including data pipelines for telemetry ingestion, observability tools for real-time fleet health visibility, and performance instrumentation to measure hardware utilization across various workloads. You will write production-quality code, operate at scale with Kubernetes-native infrastructure, and significantly influence decisions regarding Anthropic's substantial infrastructure spend. This role involves close collaboration with research engineering, infrastructure, inference, and finance teams, requiring comfort across data engineering, systems engineering, and observability in a high-autonomy environment.

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.

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.

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 &amp; Fraud team within Threat Intelligence. This team detects, investigates, and disrupts the large-scale exploitation of Anthropic's AI systems. Model distillation,&nbsp; 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,&nbsp; 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 &amp; 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.&nbsp;</li> <li>Direct, prioritize, and resource complex investigations into model distillation, unauthorized AI R&amp;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.&nbsp;</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">&mdash;</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:&nbsp;</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>&nbsp;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.&nbsp; 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&nbsp;@anthropic.com&nbsp;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&nbsp;<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>&nbsp;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 &amp; 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>&nbsp;Learn about&nbsp;<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>

Anthropic

As a member of the Applied AI team, you will serve as a Forward Deployed Engineer (FDE) embedded directly with strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real-world business problems, accelerating the adoption of existing products and creating new applications built on our models. Working with Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to develop innovative solutions for complex business challenges while maintaining high standards for safety and reliability. You will operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments, playing a key role in championing our mission in the enterprise.

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.

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.

Anthropic

We are seeking a Research Engineer for our Code RL team, focused on advancing AI models' capabilities in writing, editing, testing, debugging, and shipping real software. This role involves designing RL environments, coding tasks, and reward signals, as well as running training experiments on frontier models. You will diagnose model performance, improve pipeline speed and reliability, and contribute to areas like agentic coding behaviors, code correctness, and autonomous engineering. The position blends cutting-edge research with practical engineering to build high-quality, scalable AI systems.

Anthropic

Anthropic is seeking an experienced software engineer to build the platform for governance, risk, and compliance (GRC). This role involves consolidating compliance information from various systems into a unified platform. You will develop pipelines, integrations, and services to automate checks, create real-time dashboards, and generate evidence for decision-making and market expansion. As an early team member, you will collaborate with stakeholders across multiple departments to transform manual compliance processes into scalable, reliable systems. You will lead projects end-to-end and leverage Claude through agentic workflows for tasks like evidence collection and monitoring. Experience building internal platforms, data pipelines, or privacy systems is beneficial, and a compliance background is not required.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Security Risk team is rebuilding risk management as an engineering function, leveraging automation and AI-native platforms. This role involves identifying, prioritizing, and treating the company's most critical security risks across a broad spectrum of systems, from authorization to cryptography. You will help define the future of risk management for frontier AI companies, with a direct impact on CISO-level decisions and the opportunity to build the underlying AI-native platform. The work is largely greenfield, allowing you to shape the architecture and discipline.

Anthropic

Anthropic is seeking an exceptional Research Scientist to join its Life Sciences team. This role focuses on making Claude a superhuman life sciences research assistant, operating at the intersection of machine learning, software engineering, and biology. You will directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. As a core member, you will translate deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows, helping establish Anthropic as a leader in AI-accelerated biology and shaping how frontier models reason about computational biology tasks. This is a unique opportunity to shape how frontier AI models learn biology, working alongside top AI researchers on problems crucial for human health and scientific understanding.

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.