ML Systems Engineer — RLHF for Safe AI Training

Anthropic Limited; New York (NY); Hybrid; USD 500,000 - 850,000; Full time

Job summary

Anthropic is seeking an ML Systems Engineer to join the Reinforcement Learning Engineering team. You will work on critical algorithms and infrastructure that researchers rely on to train models like Claude, focusing on speed, reliability, and ease of use.

Ideal candidates have 4+ years of software engineering experience, enjoy working on productive systems, and are interested in ML research and societal impact.

Qualifications

• Have 4+ years of software engineering experience.
• Enjoy pair programming and collaborating with others.
• Experience or interest in machine learning research and RLHF.
• Interested in building reliable, scalable AI systems with societal impact considerations.

Responsibilities

• Build, maintain, and improve algorithms and systems used to train AI models.
• Improve speed, reliability and usability of reinforcement learning training pipelines.
• Collaborate with researchers to enable faster progress and robust deployment.

Skills

4+ years software engineering

Pair programming

Python

RLHF

Machine learning research

Societal impact awareness

Education

Bachelor’s degree or equivalent

Job description

Anthropic is seeking an ML Systems Engineer to join the Reinforcement Learning Engineering team. You will work on critical algorithms and infrastructure that researchers rely on to train models like Claude, focusing on speed, reliability, and ease of use.

Ideal candidates have 4+ years of software engineering experience, enjoy working on productive systems, and are interested in ML research and societal impact.