Anthropic
AI Frontier · AI lab
- HQ
- San Francisco, US
- Founded
- 2021
- Size
- 1,500+
- Website
- anthropic.com
- Blog
- anthropic.com
Products
AI Frontier · AI lab
Currently tracking 124 active AI roles, with 106 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $46k–$850k (avg $405k).
Anthropic has 145 active AI-related job listings. The majority of these roles are focused on agents, comprising 28% of the total. Engineering is the most frequent function, with 74 listings, followed by Research with 51. The company is primarily hiring in the United States, with 118 positions, and the United Kingdom, with 22. Frequent tech tags include model_serving, evals, and agent_orchestration, suggesting a focus on deployment and evaluation of AI systems. In the last 30 days, Anthropic posted 16 new AI roles, a 47% decrease compared to the previous 30-day period.
Anthropic currently has 132 active AI-related roles in our index. The most common open titles are: Applied AI Architect, Industries (2), 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). Most positions are in Engineering and Research.
Anthropic's active AI hiring is concentrated in: agents (28%), serving infrastructure (17%), post-training (14%). 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 (106 roles), United Kingdom (20 roles), Canada (6 roles), Ireland (5 roles).
Job postings at Anthropic most frequently reference: model serving, evals, llm observability, agent orchestration, inference infra.
In the past 30 days, Anthropic has posted 29 new AI-related roles. That is a +61% change versus the prior 30 days (18 → 29).
| Title | Stage | AI score |
|---|---|---|
| Research Engineer / Research Scientist, Pre-training Research Engineer/Scientist focused on pre-training large language models, with an emphasis on multimodal capabilities. The role involves research, implementation, experimentation, and optimization of training infrastructure and model architectures, contributing to the development of safe and steerable AI systems. | Pretrain | 10 |
| Research Engineer, Production Model Post-Training Research Engineer focused on post-training of production LLMs, implementing and optimizing techniques like Constitutional AI and RLHF to enhance model capabilities, alignment, and safety. Involves research, pipeline development, evaluation, and debugging at scale. | Post-train |
| 9 |
| Senior/Staff Security Engineer, Threat Intelligence This role focuses on cyber threat intelligence, building tooling and pipelines to operationalize indicators into defenses, conducting threat hunts, and performing technical analysis of malware and attacker tooling. It requires strong Python skills and experience with threat actors and their TTPs, primarily for protecting AI labs and cloud infrastructure. | — | 0 |
| Senior Security Software Engineer, Linux Kernel Security - Nodes & Sensors Senior Software Engineer focused on Linux kernel security and endpoint security systems for AI infrastructure, including developing kernel-based detection systems for ML workloads and leveraging AI tools for security operations. | — | 0 |