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Foundation Models

Genesis

San Francisco, CAFull-timePosted 4mo agoStill listed 4 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Genesis is seeking a foundation models researcher and engineer to build end-to-end machine learning models for robotics control. The role involves curating and evaluating large-scale datasets, developing generative simulation techniques, and training models for 3D environments, tasks, and reward functions. The candidate will collaborate with simulation and robotics teams and bring extensive experience in machine learning research or engineering. Experience with Vision-Language-Action models, embodied perception, or video generation is a bonus.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningData CurationExperimentation3D ModelingLanguage ModelCollaborationProblem SolvingData QualityModel EvaluationModel ArchitectureTraining and Inference StacksDataset CurationGenerative SimulationGenerative ModelingLanguage ModelingCode ModelingFoundation Model ResearchFoundation Model EngineeringCode QualityRigorous EvaluationAttention to DetailPythonVision-Language-Action ModelsEmbodied PerceptionVideo Generation

Qualifications

5+ Years ExperienceFirst-Author Publications or Impactful Projects

Full job description

What You'll Do

  • 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 You'll Bring

  • 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

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

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