AI Engineer — Reinforcement Learning

Reposted 24 Days Ago
San Francisco, CA, USA
In-Office
Mid level
Artificial Intelligence • Digital Media • Software
The Role
Join the founding team to build a superhuman AI web-agent, scale infrastructure for distributed reinforcement learning, and collaborate with product engineers.
Summary Generated by Built In

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.

Skills Required

  • Experience with large-scale RL, ideally for post-training multimodal LLMs
  • Experience building distributed systems for RL
  • Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)
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The Company
HQ: San Francisco, California
28 Employees
Year Founded: 2024

What We Do

We’re building AI agents that can reliably do everyday digital tasks for you on the web, towards an AI chief-of-staff for everyone. Be it simple tasks like ordering groceries or tracking campground reservations, to more complex scenarios like planning and co-ordinating a group trip. We’re reimagining how people interact with the web -- building the entire stack to be agent-first, from training our own models to generative product interfaces. Join the waitlist at yutori.com.

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