Founding Reinforcement Learning Engineer

2 days ago

H1B sponsor

Base Salary

$125k - $200k/yr

Responsibilities

Design and build reinforcement learning environments, reward functions, and training pipelines.
Train and fine-tune models using PPO, GRPO, DPO, RLHF, and RLAIF.
Develop evaluation frameworks for model and agent performance.
Run experiments, interpret results, and determine future research directions.
Scale training on GPU clusters and maintain reliable training pipelines.
Translate research ideas into production systems.
Help establish engineering practices and hire future team members.

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 with 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.
Preferred qualifications include LLM post-training or agent training experience, RL publications or open-source work, and experience with simulation frameworks or training libraries.

Base salary of $125,000 to $200,000 USD annually.
Visa sponsorship is available.
On-site in San Francisco, California; candidates must be based in or willing to relocate to San Francisco.