ML Systems Engineer — RL Training & Finetuning

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

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Job summary

Anthropic is seeking an ML Systems Engineer to join the Reinforcement Learning Engineering team in San Francisco. You will develop critical algorithms and infrastructure to train AI models, focusing on performance, robustness, and usability to accelerate research progress.

You’ll work with finetuning researchers using RLHF and related methods, building systems that empower researchers to train and evaluate models safely and efficiently in a fast-paced environment.

Qualifications

• 4+ years of software engineering experience.
• ey Bachelor’s degree or higher in a related field.
• Interest in ML research and safety and societal impact.

Responsibilities

• Build, maintain and improve RL algorithms and infra used by researchers.
• Improve speed, reliability, and usability of reinforcement learning systems.
• Support and empower research teams training production Claude models.

Skills

4+ years software engineering

Distributed systems

Python

RLHF

Pair programming

Education

Bachelor’s degree

Job description

Anthropic is seeking an ML Systems Engineer to join the Reinforcement Learning Engineering team in San Francisco. You will develop critical algorithms and infrastructure to train AI models, focusing on performance, robustness, and usability to accelerate research progress.

You’ll work with finetuning researchers using RLHF and related methods, building systems that empower researchers to train and evaluate models safely and efficiently in a fast-paced environment.