Full Stack Software Engineer, Reinforcement Learning
Anthropic(4 days ago)
About this role
A Full-Stack Software Engineer in Anthropic's Reinforcement Learning organization builds platforms, tools, and interfaces that enable RL environment creation, human data collection, and training observability. The role owns product surfaces end-to-end — from backend services and APIs to web UIs used by researchers, external vendors, and data labelers. It focuses on delivering polished, reliable full-stack software to support training frontier AI models.
Required Skills
- Full-Stack Development
- Python
- React
- TypeScript
- Backend Services
- API Design
- Web UIs
- Relational Databases
- Auth Systems
- Cloud Infrastructure
+6 more
Qualifications
- Bachelor's Degree
- Equivalent Experience
About Anthropic
anthropic.comAnthropic is an AI safety and research company focused on building reliable, interpretable, and steerable AI systems. It develops large language models (branded as Claude) and offers APIs and enterprise products that let organizations integrate conversational AI with safety-focused controls, moderation, and privacy features. The company prioritizes interpretability and alignment research, publishes technical work, and engages with policymakers to reduce risks from advanced AI. Customers choose Anthropic for its safety-first approach, controllability tools, and research-driven models.
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