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Founding Reinforcement Learning Engineer

Location
San Francisco
Work mode
On-site
Employment type
Full-time

About the job

ABOUT THE ROLE

Join an early-stage AI team building reinforcement learning systems from the ground up. You will own the end-to-end process, from environment design and model training to evaluation, helping shape the technical direction and engineering culture.

WHAT YOU'LL DO

  • Design and build reinforcement learning environments, reward functions, and training pipelines.
  • Train and fine-tune models using methods such as PPO, GRPO, DPO, RLHF, and RLAIF.
  • Develop evaluation frameworks to measure model and agent performance.
  • Run experiments, interpret results, and decide what to explore next.
  • Scale training on GPU clusters and keep training pipelines reliable.
  • Turn research ideas into production systems.
  • Help establish engineering practices and hire future team members.

WHAT WE'RE LOOKING FOR

  • At least 2 years of hands-on experience in reinforcement learning or machine learning engineering.
  • Strong Python skills and deep experience with PyTorch or JAX.
  • Practical experience training models with reinforcement learning methods, including policy gradients, reward modeling, or RLHF.
  • Experience with distributed training, GPU infrastructure, RL environments, reward functions, training pipelines, and model or agent evaluation.
  • A track record of taking research ideas into production systems.
  • A degree in computer science, mathematics, physics, or a related field; a master's or PhD is a plus.
  • LLM post-training or agent training experience is beneficial, as are RL publications or open-source work and experience with simulation frameworks or training libraries.

COMPENSATION & BENEFITS

Base salary: $125,000 to $200,000 USD annually. Visa sponsorship is available.

LOCATION

On-site in San Francisco, California, United States. Candidates must be based in or willing to relocate to San Francisco.

From Clera's careers page (Ashby), checked 31 Oct 2026.

How to apply

  1. Select Apply on getclera.com. It opens Clera's own application form in a new tab, run on Ashby.
  2. Fill in the form and upload your résumé there. Jobiwork never sees your application.
  3. Clera will reply to you directly. No real employer asks you for money to apply.

Posted 27 Oct 2026 · checked 31 Oct 2026 · Report this job

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