Reinforcement Learning Researcher

Envision Recruitment; San Francisco (CA); On-site; USD 200,000 - 350,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Job summary

Envision Recruitment is partnering with a San Francisco robotics startup to hire a Reinforcement Learning Researcher who will own offline RL research and push the boundaries of robot learning. You will develop new approaches to goal-conditioned RL, value learning, policy representations and model-based RL, with research deployed on real robots.

This on-site role in San Francisco demands a high talent bar and offers a salary between $200k–$350k+, plus relocation and visa sponsorship to the right

Qualifications

• 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

Responsibilities

• Own offline RL research and drive new approaches to robot learning.
• Develop and explore areas such as goal-conditioned RL, value learning, policy representations and model-based RL.
• See your research deployed on real robots and impact industrial robotics.

Skills

Offline RL

Reinforcement Learning

Research Publications

Education

PhD

Masters with publications

Job description

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.