Python AI Jobs

Revenue Platform Architecture & Development. Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries.

Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region.

Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.

Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure. Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities.

Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus. Slack and in-person. Diagnose and fix issues across macOS,. ChromeOS, iOS,. Android, and our core.

Own the complete accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis.

Represent the “voice of the customer” within your product space, work to connect the day to day customer experience to product and engineering teams, and bring customer insights to help teams think beyond the boundaries of what exists today.

Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows.

Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement.

You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making.

Define the control framework and requirements for autonomous AI operators in collaboration with Security, Internal Audit, and Engineering, including change review and approvals, human-in-the-loop, and evidence collection.

Device standards, what we issue to whom, and how the program grows from a first region to everywhere Anthropic operates. Own the global logistics of issuing hardware: procurement partners, regional coverage, spares, and refresh cycles.

Build AI-powered platform responsible for all aspects of D&R capabilities from detection development to incident response. Design and implement scalable data pipelines for ingesting and processing security telemetry across our rapidly growing infrastructure.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role. The. Corporate. Network. Engineering team owns.

Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation.

Design, build, and own shared infrastructure for Interpretability - research environments, data systems, and compute tooling that researchers rely on daily.

Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Coordinate synthesis and biological evaluation with external contract research organizations and academic partners.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation.

Accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will own the documentation for Claude apps .

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Build and scale the infrastructure and data pipelines behind Safeguards machine learning research. Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result.

Research design & scientific inquiry. Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire.

Own tax-related changes in the billing codebase and the billing-to-tax-engine integration, including withholding tax considerations.

Own strategy, priorities, and outcomes for the Influence Operations & Surveillance threat intel mission area. Hire, manage, and develop a small team of technical threat investigators with IO and surveillance expertise.

Own strategy, priorities, and outcomes for the Model Exploitation & Fraud mission area; define what we detect, investigate, action, and share.

Design and run experiments to improve Claude's perception and agentic capabilities. Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks.

Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide. Develop resilient, flexible systems that adapt in real time to real world events.