Foundation Models

Genesis • San Carlos, CA

8h

About The Position

This role focuses on building machine learning models for robotics control end-to-end. This includes data curation, evaluation, model architecture, training/inference stacks, and conducting rigorous experiments. The position involves collaborating with simulation and real-world robotics teams to curate large-scale datasets for embodied perception and robot video generation. Additionally, it requires designing new generative simulation techniques to enhance data scale and diversity, training generative models for 3D objects and environments, and developing language/code models for task and reward function generation. The role is part of a team dedicated to building general-purpose Physical AI.

Requirements

• Passion for your craft and demonstrated excellence in full-stack foundation model research and engineering
• Exceptional ownership and initiative—finding and solving problems independently
• Extensive experience pioneering new machine learning ideas or refining existing methods, supported by first-author publications or impactful projects (5+ years)
• A relentless commitment to data and code quality, rigorous evaluation, and meticulous attention to detail
• Production-level expertise in modern Python

Nice To Haves

• Experience with Vision-Language-Action models for robotics or web agents, embodied perception, or video generation

Responsibilities

• Build machine learning models for robotics control end-to-end: data curation, careful evaluation, model architecture, training/inference stacks, rigorous experiments
• Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, and large-scale datasets
• Curate the world’s best Internet-scale datasets for embodied perception and first-person robot video generation
• Design new generative simulation techniques to expand simulation data scale and diversity, training and evaluating generative models of 3D objects and environments, and language/code models to generate tasks and reward functions
• Collaborate with a team of driven individuals committed to building general-purpose Physical AI

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed