# Coding RL Engineer at Clera

Coding RL Engineer at Clera in San Francisco. On-site, full-time. Posted October 26, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Experience: 2+ years
- Posted: 2026-10-26
- Apply: https://jobs.ashbyhq.com/clera/ae672eaf-6055-4e27-9706-36e283c766a8/application
- Source: https://jobmagic.ai/jobs/coding-rl-engineer-clera-e25022

## Requirements

- At least 2 years of professional software engineering experience delivering software systems.
- Very strong Python skills and fluency in another language such as TypeScript, Go, Java, or Rust.
- Hands-on Docker experience and familiarity with reproducible build and test environments.
- Experience navigating unfamiliar, complex codebases and getting them building, running, and tested.
- Working knowledge of coding model training and evaluation, including SWE-bench-style tasks, code evaluations, RLVR, and agent harnesses.
- Experience creating coding tasks from real engineering work and hardening verifiers against flaky tests, unclear requirements, and leaked solutions.
- Relevant experience with frontier AI labs, evaluation teams, RL environments, coding agents, or large enterprise and legacy codebases is helpful.

## Description

### About the Role

Join an early-stage AI company as a Coding RL Engineer, working with the reinforcement learning team to build coding environments and tasks for training and evaluating advanced models. You will turn real-world software engineering work into reproducible benchmarks that help improve coding AI.

### What You'll Do

- Convert licensed production codebases into reproducible, containerized coding environments.

- Use issues, pull requests, commit histories, and incident records to create tasks covering bug fixes, features, refactors, testing, and multi-file agent work.

- Build and improve verifiers with hidden tests, rubric-based or model-based grading, and safeguards against reward hacking and answer leakage.

- Run model rollouts, review traces, and repair or remove tasks that are broken, ambiguous, too easy, or exploitable.

- Contribute tasks and analysis to coding benchmarks and build tools that speed up task creation and validation.

- Work with research teams to calibrate task difficulty and benchmark coverage.

### What We're Looking For

- At least 2 years of professional software engineering experience delivering software systems.

- Very strong Python skills and fluency in another language such as TypeScript, Go, Java, or Rust.

- Hands-on Docker experience and familiarity with reproducible build and test environments.

- Experience navigating unfamiliar, complex codebases and getting them building, running, and tested.

- Working knowledge of coding model training and evaluation, including SWE-bench-style tasks, code evaluations, RLVR, and agent harnesses.

- Experience creating coding tasks from real engineering work and hardening verifiers against flaky tests, unclear requirements, and leaked solutions.

- Relevant experience with frontier AI labs, evaluation teams, RL environments, coding agents, or large enterprise and legacy codebases is helpful.

### Location

Remote within the United States or in person in San Francisco, California.