Foundation Models

Genesis AI

Paris

Hybride

EUR 90 000 - 130 000

Plein temps

14 jours+
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Résumé du poste

Genesis AI is seeking an experienced ML researcher/engineer to build end-to-end models for robotics control. You will collaborate across simulation and real-world teams to curate high-quality, diverse, large-scale datasets.

The role emphasizes rigorous evaluation, ownership, and pursuit of state-of-the-art methods. Production-grade Python expertise is required, with bonus for Vision-Language-Action experiences in robotics or video generation.

Qualifications

  • 5+ years of experience in ML research or engineering.
  • First-author publications or impactful projects.
  • Strong emphasis on data and code quality and rigorous evaluation.
  • Production-level Python proficiency.
  • Bonus: Experience with Vision-Language-Action models for robotics.

Responsabilités

  • Build machine learning models for robotics control end-to-end.
  • Collaborate with simulation and robotics teams to curate datasets.
  • Curate datasets for embodied perception and robot video generation.
  • Design generative simulation techniques to expand dataset scale.
  • Collaborate with a team to push general-purpose Physical AI.

Connaissances

Full-stack foundation model research
Ownership and initiative
Data quality and rigorous evaluation
Python programming
Vision-Language-Action models

Description du poste

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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