Foundation Models

Genesis AI
Paris, London
Workplace: HybridFull timeFunction: CybersecurityExperience: 5+ yearsSkills: ["Ownership","Initiative","Problem-solving","Data quality focus","Rigorous evaluation","Attention to detail"]

Build end-to-end machine learning foundation models for robotics control, from data curation and careful evaluation to model architecture and training/inference pipelines. Partner with simulation and real-world robotics teams to create diverse, large-scale datasets for embodied perception and first-person robot video generation. Invent generative simulation techniques to scale and diversify data, and train/evaluate generative models for 3D environments, while helping generate tasks and reward functions.

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FursaFursa
Genesis AI
Genesis AI
4 months ago

Foundation Models

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build end-to-end machine learning foundation models for robotics control, from data curation and careful evaluation to model architecture and training/inference pipelines. Partner with simulation and real-world robotics teams to create diverse, large-scale datasets for embodied perception and first-person robot video generation. Invent generative simulation techniques to scale and diversify data, and train/evaluate generative models for 3D environments, while helping generate tasks and reward functions.
Location: Paris, London
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Build machine learning models for robotics control end-to-end, including data curation, evaluation, model 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 data scale and diversity and train/evaluate generative models of 3D objects and environments.
  • •Collaborate with a team focused on building general-purpose Physical AI.

Key Requirements

  • •Passion and demonstrated excellence in full-stack foundation model research and engineering.
  • •5+ years experience pioneering new ML ideas or refining existing methods, supported by first-author publications or impactful projects.
  • •Production-level expertise in modern Python.
  • •Strong commitment to data and code quality, rigorous evaluation, and meticulous attention to detail.
  • •Exceptional ownership and initiative to find and solve problems independently.
Experience:5+ years
Skills:OwnershipInitiativeProblem-solvingData quality focusRigorous 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