On Device Ml Jobs

Lead the strategy and delivery of distributed inference, LLM integrations, and on-device ML features at webAI to enable privacy-first, enterprise-grade AI on the edge.

Lead technical product strategy and execution for webAI’s distributed inference and on-device LLM platform, partnering closely with engineering and research to deliver enterprise-grade AI solutions.

Lead the ML strategy and engineering team to design, ship, and scale LLM-powered, privacy-conscious features that personalize the Dia browser experience.

Architect and build scalable backend and deployment systems that enable Real-World ML at Liquid, working closely with ML researchers and product teams.