Research Engineer — Scalable ML & RL for Safe AI

Anthropic; San Francisco (CA); Hybrid; USD 500,000 - 850,000; Full time

Job summary

Anthropic is seeking a Research Engineer specializing in Reinforcement Learning to advance the capabilities and safety of large language models. This role involves collaboration with researchers and engineers to implement innovative approaches, build scalable systems, and enhance performance through optimization. Candidates should have proficiency in Python, experience with machine learning frameworks, and strong communication skills. The position offers a salary range of $500,000 to $850,000 annually and requires a Bachelor's degree or equivalent experience.

Qualifications

• Experience with machine learning research.
• Experience with reinforcement learning techniques.
• Familiarity with LLM architectures.

Responsibilities

• Collaborate on advancing large language models.
• Build scalable reinforcement learning infrastructure.
• Optimize and benchmark performance across systems.

Skills

Proficient in Python

Machine learning frameworks (PyTorch, TensorFlow, JAX)

Systems design and communication skills

Async/concurrent programming

Code quality and testing

Performance optimization

Education

Bachelor’s degree or equivalent

Tools

Kubernetes

Rust

C++

Job description

Anthropic is seeking a Research Engineer specializing in Reinforcement Learning to advance the capabilities and safety of large language models. This role involves collaboration with researchers and engineers to implement innovative approaches, build scalable systems, and enhance performance through optimization. Candidates should have proficiency in Python, experience with machine learning frameworks, and strong communication skills. The position offers a salary range of $500,000 to $850,000 annually and requires a Bachelor's degree or equivalent experience.