Full-Stack Software Engineer, Reinforcement Learning (Visa Sponsorship - San Francisco, United States)
Visa sponsorship available. This is a full-stack engineering role on a team building a data platform for reinforcement learning. You will create the internal tools and partner-facing products that research, operations and go-to-market colleagues use to create, evaluate and improve training data and environments. The work spans interfaces, backend services and the infrastructure behind them, with a strong emphasis on shipping quickly and iterating with users.
What you'll do
- Build tools for browsing environments, inspecting trajectories, reviewing task quality and understanding model behavior.
- Develop partner workflows for creating, submitting, testing and iterating on environments and training data.
- Create dashboards and observability tools covering environment quality, evaluation results, data collection progress and pipeline health.
- Design backend services and APIs that connect task authoring, data collection, evaluation, quality assurance and training infrastructure.
- Partner with cross-functional teams to turn loosely defined needs into polished, usable products.
What you need
- At least 3 years of full-stack engineering experience shipping production systems, with a technical degree or equivalent technical fundamentals.
- Proficiency in Python and a modern web stack such as React, TypeScript or Next.js.
- Hands-on experience with AI, machine learning or reinforcement learning, and experience owning products from design through deployment.
- Experience building backend services, APIs, databases, and dashboards or monitoring interfaces.
- Comfort with cloud infrastructure, Docker, CI/CD and production debugging. Experience with data review, labeling or evaluation tools, and with AWS, Kubernetes, Terraform or Grafana, is a plus.
How to apply
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