Yutori
AI Engineer — Reinforcement Learning
San Francisco, California, United States · Staff+
Sponsorship not specifiedDetected 484 days ago
Distributed SystemsAlgorithmsMachine LearningLLMsAgentic AIResearch
About the 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.
Responsibilities
- Build a superhuman generalist web-agent
- Experience building distributed systems for RL (balancing trainer, environment, actor workloads)
Requirements
- Experience with large-scale RL, ideally for post-training multimodal LLMs
- Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)
- 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.
Compensation
- Competitive salary and equity
- 20 days of paid time off per year
Benefits
- 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
- Commuter benefits
- Scale infra, data, algorithms for large-scale distributed async reinforcement learning with multimodal LLMs acting in web environments
- Benefits and perks:
Company info
- What we're looking for:
Visa & Work Authorization
- Visa sponsorship and relocation stipend to bring you to SF
This listing is sourced directly from Yutori's careers page and normalized into a canonical job model.