Research Engineer, Machine Learning, RL Velocity at Anthropic

Confirmed open

Anthropic is hiring a research engineer, machine learning, rl velocity focused on reinforcement learning research and velocity.

Anthropic

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY / San Francisco, California, United States
Work arrangement: remote
Technologies: PyTorch

Role overview

Anthropic develops reliable, interpretable and steerable AI systems. This role focuses on reinforcement learning research and velocity.

Deliver technical or research work for reinforcement learning research and velocity.
Collaborate with research, engineering, security, infrastructure and operations teams.
Improve reliability, testing, documentation and operational readiness.
Translate complex technical questions into measurable systems or research outcomes.

Relevant professional experience in IT, data center security, manufacturing, machine learning or research engineering.
Strong analytical, communication and systems skills.
Ability to work effectively in a remote or distributed environment.

Remote-friendly United States arrangement as stated; travel or office requirements vary by role.
Opportunity to support Anthropic’s frontier AI and safety mission.

Anthropic develops advanced AI systems with a focus on reliability and safety.

Review the original posting and apply through the employer’s careers page.

Source checked: 2026-09-30

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