3 months ago
London, United KingdomMid Level / Senior
Responsibilities
- Design, run, and interpret large-scale RL experiments.
- Investigate improvements in RL as horizon, compute, and model size grow.
- Build and maintain benchmarks for long-horizon RL.
- Translate validated findings into production training recipes.
- Debug complex issues at the intersection of research and infrastructure.
- Collaborate with adjacent RL teams to enhance the overall RL stack.
Requirements
- Strong empirical research skills in Reinforcement Learning or large-scale ML training.
- Demonstrated ability to manage large experiments from design to interpretation.
- Proficiency in Python and experience with large-scale or distributed ML systems.
- Comfort operating at the research/systems boundary, including debugging.
- A commitment to the societal impacts of AI and responsible scaling.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
Tech Stack
Categories
Data Science
About Anthropic
Anthropic builds large language models and the Claude AI assistant for developers and enterprises, offered via API access and enterprise plans. Founded in 2021 and headquartered in San Francisco, it distributes Claude through its own platform and via partners such as Amazon Bedrock and Google Cloud’s Vertex AI. Its work emphasizes model reliability, interpretability, and practical tooling for tasks like coding assistance, analysis, and customer support automation.