Reinforcement Learning Researcher

Build intelligent robots to automate industrial labour.

How great does that sound!?

Envision Recruitment are supporting an SF-based robotics startup on a mission to build robots capable of performing real-world industrial tasks.

They've recently raised $20m+ from prestigious investors and assembled a team drawn from OpenAI, xAI, Zoox and other leading tech companies.

They're now looking for a Reinforcement Learning Researcher to take ownership of their offline RL research.

You'll be developing new approaches to how robots learn, adapt and perform, exploring areas such as goal-conditioned RL, value learning, policy representations and model-based RL.

Most excitingly, you'll get to see your research deployed on real robots!

You should have:

• Strong foundational RL research experience, particularly offline RL
• A PhD, or a Master's with an exceptional publication record
• Published research at leading conferences
• Experience developing or improving RL methods, rather than simply applying existing algorithms
• A genuine passion for bringing cutting-edge AI research into real-world robotics

A few things to know:

This is an early-stage startup with a very high talent bar, and the team works 6 days a week onsite in San Francisco.

That's not for everyone, but if you're excited by the opportunity to work on frontier research alongside an outstanding team, there's a lot to be gained from joining at this stage.

The salary is $200k–$350k+, plus competitive equity, with relocation and visa sponsorship available.

If you're a published expert in foundational RL research, especially offline RL, please do apply.