Full-Stack Software Engineer, Reinforcement Learning
Anthropic · AI Research & Engineering
- Location
- San Francisco, CA | New York City, NY
- Metro
- San Francisco Bay Area, New York City
- Workplace
- Unspecified
- Level
- Unspecified
- Type
- Unspecified
- Pay
- $300K–$405K/yr (estimated from posting text)
- Posted
- 6 months ago
- Source
- Greenhouse
Read the full posting & apply ↗
PythonTypeScriptReactAWSGCPDockerLLMs
What the posting covers
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and…
About the Role
As a Full-Stack Software Engineer in RL, you'll build the platforms, tools, and interfaces that power environment creation, data collection, and training observability. The quality of Claude's next generation depends on the quality of the data we train it on…
About the Role
The RL org is organized around four goals: solving the science of long-horizon tasks and continual learning, scaling RL data and environments to be comprehensive and diverse, automating software engineering end-to-end, and training the frontier production…
What You'll Do
Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows Develop vendor-facing interfaces and tooling that let external partners create, submit, and…
You May Be a Good Fit If You
Have strong software engineering fundamentals and real full-stack range — you're comfortable owning a surface from database schema to frontend Are proficient in Python and a modern web stack (React, TypeScript, or similar) Have a track record of shipping…
Strong Candidates May Also Have
Built data collection, labeling, or annotation platforms — ideally ones that had to scale across many vendors or many task types Background building multi-tenant platforms with role-based access, audit trails, and vendor management workflows Experience with…
Representative Projects
Building a unified platform for human data collection that integrates labeling workflows, vendor management, and QA for complex agentic tasks Developing vendor onboarding automation that handles Docker registry access, API token management, and environment…
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of…
Logistics
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working…
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work…
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to…
Excerpts only. The employer’s page has the complete posting.