Lead and build the ML cloud platform at an early-stage AI startup in San Francisco, owning end-to-end infrastructure for training and deploying large-scale physics models while remaining deeply technical and customer-facing.
Be a founding deep learning researcher building and deploying foundation models for physics in a fast-paced, in-person San Francisco startup working directly with the CEO and founding team.
Founding Full Stack Product Engineer needed to own frontend and backend product development for an on-site San Francisco team building foundation AI models for physics.
Lead the design and implementation of petabyte-scale training, fine-tuning, and low-latency model serving infrastructure for an early-stage startup building foundation models for physics.
