Teams at UniversalAGI

As a Machine Learning Engineer, you will own the execution layer for ML projects, including data preprocessing, training, benchmarking, and collaboration with researchers to deliver actionable results.

Lead and own all marketing for an AI-for-physics startup: build GTM motion, demand generation, brand and storytelling, convert research into technical content, run channels and events, drive press and customer case studies, and support talent branding while partnering closely with the CEO, product, research, and GTM teams.

Lead the 0-to-1 development of UniversalAGI's core platform, owning web UI, API, CLI, and CAD integrations. Translate complex engineering simulation workflows into product requirements, define the roadmap for data pipelines, active learning, uncertainty quantification, and geometry tools, and bridge ML researchers, physics experts, and enterprise customers. Design for enterprise and regulated deployments including on-premise, air-gapped, and ITAR-ready environments.