RL Full-Stack Engineer: Build Training Platforms

Anthropic; San Francisco (CA); Hybrid; USD 300,000 - 405,000; Full time

Job summary

Anthropic in San Francisco is looking for a Full-Stack Software Engineer to build platforms for reinforcement learning systems. You will work on end-to-end product surfaces, developing both backend services and user interfaces that enhance data collection and training observability.

The ideal candidate will have strong software engineering fundamentals and be proficient in Python and modern web stacks. A Bachelor’s degree is required, and the position offers a hybrid work model.

Qualifications

• Strong software engineering fundamentals and full-stack capabilities.
• Ability to build intuitive user interfaces for technical and non-technical users.
• Experience with cloud infrastructure and CI/CD pipelines.

Responsibilities

• Build and extend web platforms for RL environments.
• Develop vendor-facing interfaces for external partners.
• Create backend services connecting tools and infrastructure.

Skills

Python

React

TypeScript

Full-stack development

UX design

Education

Bachelor’s degree in a relevant field

Tools

Docker

GCP

AWS

Job description

Anthropic in San Francisco is looking for a Full-Stack Software Engineer to build platforms for reinforcement learning systems. You will work on end-to-end product surfaces, developing both backend services and user interfaces that enhance data collection and training observability.

The ideal candidate will have strong software engineering fundamentals and be proficient in Python and modern web stacks. A Bachelor’s degree is required, and the position offers a hybrid work model.