Senior AI Engineer - Distributed Systems
Visa Sponsorship
Relocation
AI Summary
Join Yutori's founding team to build superhuman AI agents. Develop large-scale distributed async reinforcement learning systems with multimodal LLMs. Collaborate with product engineers to create elegant product experiences.
Key Highlights
Build a superhuman generalist web-agent
Scale infra, data, algorithms for large-scale distributed async reinforcement learning
Work closely with product engineers to translate AI capabilities into product experiences
Technical Skills Required
Benefits & Perks
Competitive salary and equity
Visa sponsorship and relocation stipend
Generous health, dental, vision insurance
20 days of paid time off per year
Work laptop and budget to set up work office
Daily team lunches
Commuter benefits
Job Description
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 Yutoris 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.
- 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.
- 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.