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Full-Stack Software Engineer, Reinforcement Learning

San Francisco💼 Full-time🗓 2026-10-03 → 2026-10-05

Core

Build product interfaces, backend services, and internal tools to support reinforcement learning data workflows, including environment inspection, trajectory review, and training data evaluation. (via careerplan.io/jobs/011dc742-dd72-4ac8-acd2-1b6b8c2a29c8-full-stack-software-engineer-reinforcement-learning-at-clera)

Role type

Senior full-stack software engineer (AI infrastructure)

Builds

Tools for browsing environments, inspecting trajectories, reviewing task quality, and observability dashboards for data collection pipelines.

Domain

Artificial Intelligence / Reinforcement Learning Infrastructure

Deliverable

product features

Required skills

Python, React, TypeScript, Next.js, Backend API design, Database management, Cloud infrastructure, Docker, CI/CD, Production debugging

Preferred skills

Data collection, labeling, evaluation, Partner-facing workflows, AWS, Kubernetes, Terraform, Grafana

Responsibilities

Develop partner workflows for creating, submitting, testing, and iterating on environments and training data; Design backend services connecting task authoring, data collection, evaluation, and training systems; Create dashboards for environment quality and pipeline health; Collaborate with research and operations teams to ship systems amid evolving requirements.

Seniority

Senior, hands-on IC