AI Engineer — Reinforcement Learning

yutori· Modeling
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📍 San Francisco, California, United StatesFullTime

About this role

Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.

Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strongly, and excited about building superhuman AI agents that take actions on the web.

Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.

Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.

Responsibilities:

  • Build a superhuman generalist web-agent

  • Scale infra, data, algorithms for large-scale distributed async reinforcement learning with multimodal LLMs acting in web environments

  • Work closely with product engineers to translate cutting-edge AI capabilities into elegant and reliable product experiences.

What we’re looking for:

  • Experience with large-scale RL, ideally for post-training multimodal LLMs

  • Experience building distributed systems for RL (balancing trainer, environment, actor workloads)

  • Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)

  • High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.

Benefits and perks:

  • Competitive salary and equity

  • Visa sponsorship and relocation stipend to bring you to SF

  • Generous health, dental, vision insurance for you and your dependents

  • 20 days of paid time off per year

  • Work laptop and budget to set up your work office

  • Daily team lunches

  • Commuter benefits

  • Small, focused team of high-potential individuals. In-person in SF.

Frequently Asked Questions

Is the salary disclosed for the AI Engineer — Reinforcement Learning position at yutori?
The salary for this AI Engineer — Reinforcement Learning role at yutori is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AI Engineer — Reinforcement Learning position at yutori located?
This AI Engineer — Reinforcement Learning role at yutori is based in San Francisco, California, United States. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the AI Engineer — Reinforcement Learning role at yutori full-time or part-time?
This is listed as a FullTime position. It is posted as a AI Engineer — Reinforcement Learning role in the Modeling department at yutori.
Which team or department does the AI Engineer — Reinforcement Learning at yutori belong to?
This AI Engineer — Reinforcement Learning position is part of the Modeling department at yutori. See the full job description for more information about the team structure and responsibilities.
How do I apply for the AI Engineer — Reinforcement Learning position at yutori?
Click the "Apply Now" button on this page. You will be redirected to yutori's official application portal hosted on ashby where you can submit your application directly.
When was the AI Engineer — Reinforcement Learning job at yutori posted?
This AI Engineer — Reinforcement Learning position at yutori was posted on Mar 26, 2025. Apply as soon as possible — early applications are often reviewed first.
AI Engineer — Reinforcement Learning
yutori
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