Python Jobs

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.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves end-to-end ownership of Claude on each platform, from API integration and request routing to inference execution and capacity management. The model & inference launch team specifically focuses on the validation pipeline for the inference server and load balancer, ensuring every inference change, including model launches and performance improvements, is deployed with correctness, performance, and reliability. This high-leverage infrastructure work is critical for fast and cost-effective deployment of frontier models and features, directly impacting compute capacity and the speed at which innovations reach production.

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 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.

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.

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

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.

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

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

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.

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.

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.

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.

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

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.

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

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.

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.

Anthropic

Anthropic is seeking a Technical Cyber Threat Investigator to join its Threat Intelligence team. This role is crucial for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations. You will operate at the intersection of AI safety and cybersecurity, developing novel detection techniques and building defenses against emerging AI-enabled cyber threats. Your work will directly contribute to protecting the broader ecosystem from sophisticated threat actors leveraging AI for harm. Please note, this role may involve exposure to sensitive content and require responding to escalations during weekends and holidays.

Anthropic

Anthropic is seeking software engineers to build foundational systems for AI safety, oversight, and intervention mechanisms. In this role, you will focus on monitoring models, preventing misuse, and ensuring user well-being by developing systems to detect unwanted model behaviors and disallowed use cases. You will apply your technical expertise to uphold principles of safety, transparency, and oversight, contributing to the development of reliable, interpretable, and steerable AI systems.