Anthropic currently has 151 active AI-related job listings, with a significant focus on roles related to agents, which constitute 32% of their openings. Engineering is the most frequent function, followed by Research. The majority of their hiring is concentrated in the United States. Frequent technical tags include evals, model_serving, and agent_orchestration, suggesting a focus on the practical deployment and management of AI systems.
Currently tracking 127 active AI roles, down 32% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $406k).
Anthropic currently has 149 active AI-related roles in our index. The most common open titles are: Regional Research Economist, Economic Research (2), Research Engineer, Machine Learning (RL Velocity) (2), Research Engineer, Production Model Post-Training (2), Staff Software Engineer, AI Reliability Engineering (2), Product Manager, Safeguards Rare Harms. Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (31%), serving infrastructure (15%), post-training (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Anthropic is hiring AI talent in: United States (130 roles), United Kingdom (18 roles), Canada (6 roles), Ireland (3 roles).
Job postings at Anthropic most frequently mention: Machine Learning, AI Safety, Production ML Systems, System Design, Large Language Models (LLMs).
In the past 30 days, Anthropic has posted 32 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Scientist, Life Sciences (Computational) Research Scientist role focused on computational biology, combining deep expertise with frontier AI capabilities to accelerate scientific discovery. Responsibilities include building and maintaining analysis pipelines for large-scale biological data, designing experiments, generating hypotheses, standing up computational infrastructure, and heavily using LLMs and agent frameworks. The role aims to establish how computational biology operates at Anthropic and guide the development of AI systems for biological research. | DataAgent | 9 |
| Research Engineer, Domain Scaling Research Engineer focused on scaling AI models for real-world knowledge work in domains like finance, healthcare, and legal. This role involves owning the end-to-end data strategy, from sourcing tasks to RL training, including designing reward signals, managing external data vendors, and developing QA frameworks to ensure environment quality and prevent reward hacking. It combines applied research with hands-on data work. |
| DataPost-train |
| 9 |
| Anthropic Fellows Program — ML Systems & Performance This is a research fellowship program focused on AI systems and performance, with the goal of producing public outputs like paper submissions. Fellows will work on empirical projects, potentially involving building ML systems, data pipelines, or infrastructure for accelerators, using external infrastructure and open-source models. | Data | 8 |
| Anthropic Fellows Program — The Anthropic Institute Fellows (Economics & Policy) This is a research fellowship program focused on empirical projects related to AI's economic and societal impacts, with the goal of producing public outputs like research papers. Fellows will use external infrastructure and work with mentors to explore areas such as AI's economic effects, labor markets, and AI-enabled cyber/bio capabilities. | Data | 7 |
| Transformative AI Research Economist, Economic Research This role focuses on building macroeconomic models of transformative AI and developing scenario-based forecasting tools. It grounds projections in microeconomic data from the Anthropic Economic Index, analyzing millions of real-world AI interactions to understand AI's impact on labor markets, productivity, and economic transformation. The role also involves contributing to AI-powered research tools for economics. | Data | 7 |
| Research Economist, Economic Research Research Economist role focused on measuring and understanding the economic impact of AI systems, developing methodologies for the Anthropic Economic Index, and using frontier econometrics and machine learning methods. The role involves analyzing AI interactions, labor market impacts, and productivity, and translating insights into policy and product recommendations. | Data | 7 |