Full-Stack Software Engineer, Reinforcement Learning

The role

Build product interfaces, backend services, and internal tools for an AI reinforcement learning data platform. You will work with research, operations, and external partners to create tools for training data.

What you will do

• Develop tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
• Build partner workflows for creating, submitting, testing, and iterating on reinforcement learning environments and training data.
• Create dashboards and observability tools for environment quality, evaluation results, data collection progress, and pipeline health.
• Design backend services and APIs that connect task authoring, data collection, evaluation, quality review, and training systems.
• Collaborate across research, operations, and go-to-market teams to ship and improve products.

Required qualifications

• At least 3 years of full-stack software engineering experience building and shipping production systems
• Technical field of study or equivalent technical foundation
• 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
• Experience owning products end-to-end from design through deployment
• Experience building backend services, APIs, and databases
• Experience with cloud infrastructure, Docker, CI/CD, and production debugging
• Experience creating dashboards, monitoring or observability interfaces, and tools for data inspection, review, or quality assessment

Nice to have

• Experience with data collection, annotation, or evaluation platforms
• Experience with AWS, Kubernetes, Terraform, or Grafana

Benefits

• Visa sponsorship and relocation support are available for eligible full-time candidates moving to the United States or Singapore

About the company

clera