Foundation Models

Genesis AI
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Ownership","Initiative","Problem-solving","Data quality","Code quality","Rigorous evaluation","Attention to detail"]

Build end-to-end foundation model research for robotics control, from data curation and model architecture through training and inference. Work with simulation and real-world robotics teams to create large, diverse Internet-scale datasets for embodied perception and first-person robot video generation. Develop generative simulation methods to scale data diversity, and train/evaluate generative models of 3D objects, environments, and language/code task generation. Collaborate with a team focused on general-purpose Physical AI.

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FursaFursa
Genesis AI
Genesis AI
2 days ago

Foundation Models

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Last checked: 3 hours agoStatus: Live

Job Summary

Build end-to-end foundation model research for robotics control, from data curation and model architecture through training and inference. Work with simulation and real-world robotics teams to create large, diverse Internet-scale datasets for embodied perception and first-person robot video generation. Develop generative simulation methods to scale data diversity, and train/evaluate generative models of 3D objects, environments, and language/code task generation. Collaborate with a team focused on general-purpose Physical AI.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build machine learning models for robotics control end-to-end, including data curation, evaluation, architecture, and training/inference stacks.
  • •Collaborate with simulation and real-world robotics teams to curate high-quality, diverse, large-scale datasets.
  • •Curate Internet-scale datasets for embodied perception and first-person robot video generation.
  • •Design generative simulation techniques to expand simulation scale and diversity, including generative models for 3D objects/environments and language/code task generation.
  • •Collaborate with a team dedicated to building general-purpose Physical AI.

Key Requirements

  • •Passion for full-stack foundation model research and engineering with demonstrated excellence.
  • •Ownership and initiative to find and solve problems independently.
  • •5+ years of experience pioneering new ML ideas or refining methods with first-author publications or impactful projects.
  • •Commitment to data/code quality, rigorous evaluation, and strong attention to detail.
  • •Production-level expertise in modern Python.
Experience:5+ years
Skills:OwnershipInitiativeProblem-solvingData qualityCode qualityRigorous evaluationAttention to detail
Tech Stack:Python

Company Brief

Genesis AI
Genesis AI is a global physical AI research lab and full‑stack robotics company building a universal robotics foundation model and horizontal platform to enable general‑purpose robots and scale automation of physical labor.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2024
WebsiteLinkedIn