ABOUT THE ROLE
Join an early-stage AI company as its first engineering hire, building reinforcement learning environments and AI agents. You will work closely with the co-founders, shape technical direction, and help grow the engineering team.
WHAT YOU'LL DO
- Build reinforcement learning environments and tasks using voice and enterprise data.
- Develop and deploy AI agents for enterprise customers.
- Partner with the co-founders on technical direction and product roadmaps.
- Lead engineering as the team grows, balancing fast delivery with high-quality work.
WHAT WE'RE LOOKING FOR
- Typically 3 or more years of experience in reinforcement learning or AI agent development, or 6 to 12 months building RL environments or data as a recent graduate.
- Experience building coding RL environments and shipping AI agents into production, with strong reinforcement learning fundamentals.
- Professional experience with Python and PyTorch or JAX, and hands-on use of AI coding tools such as Claude Code or Cursor.
- Experience training models with policy gradient methods, reward modeling, RLHF, or related approaches.
- Full-stack experience with TypeScript and AWS; experience with mobile development, distributed training, GPU infrastructure, or LLM post-training is a plus.
- Familiarity with environment frameworks such as Gymnasium, Ray RLlib, Isaac, or MuJoCo, and training libraries such as TRL, verl, or OpenRLHF is helpful.
- Strong shipping record in a startup or AI lab environment; a related degree or relevant open-source work or publications is valued.
- Must be authorized to work in the United States without visa sponsorship and willing to relocate to San Francisco for an in-person 5.5-day work week.
COMPENSATION & BENEFITS
Base salary is $125,000 to $200,000 annually. OTE (on-target earnings, base plus variable) is $225,000 to $400,000. Visa sponsorship is not available.
LOCATION
On-site in San Francisco, California. The role follows a 5.5-day work week.
