Machine Learning Engineer

Backed by Silicon Valley’s top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents.

Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs.

Proven track record of delivering AI/ML projects from concept to production.

Hands-on experience fine-tuning and deploying large language models (LLMs) in production environments.

Prior experience working with multi-modal models (e.g., combining text, image, or audio inputs).

Background in competitive programming.

Contributions to open-source initiatives.

Notable awards or publications in leading journals/conferences.

Experience thriving in a fast-paced, hyper-growth startup environment.