Full-Stack Software Engineer, Reinforcement Learning

Description: Full-stack engineer responsible for building product surfaces, backend systems, and internal tools for an AI-focused reinforcement learning data engine. Own end-to-end product experiences for AI labs and external partners to create, evaluate, and iterate on RL training data. Requirements: 3+ years of full-stack software engineering experience with production systems. Proficiency in Python and modern web stacks (React, TypeScript, Next.js). Experience in end-to-end product ownership from design to deployment. Skills in building tools for data inspection, review workflows, and quality assessment. Experience with backend services, APIs, and databases. Hands-on experience with cloud infrastructure, Docker, CI/CD, and production debugging. Experience in building dashboards and monitoring tools for complex systems. Strong product taste for intuitive tool design for diverse users. High agency in identifying, building, and improving necessary tools independently. Strong communication skills across research, engineering, and operations. Familiarity with AWS, Kubernetes, Terraform, or Grafana is a plus. Background in data collection, labeling, annotation, or evaluation platforms is a plus. Benefits: Competitive compensation with full medical, dental, and vision coverage (US employees). 401k, commuter benefits, PTO, company-wide holiday break, and Equinox membership. Visa sponsorship and relocation support for strong candidates moving to the US or Singapore. Remote work options available with time zone overlap with San Francisco or Singapore.