Foundation Models

Genesis; Paris; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Genesis seeks a senior ML researcher/engineer to drive full-stack foundation model work for robotics. You will own end-to-end model development, data curation, and rigorous evaluation, collaborating across simulation and real-world robotics teams to scale diverse datasets and advance embodied perception.

With 5+ years in the field, you will push state-of-the-art techniques, maintain strict data/code quality, and contribute to publications or impactful projects.

Qualificações

• 5+ years of experience in machine learning research or engineering.
• Publications or impactful projects demonstrate your impact in the field.
• Production-level Python expertise and strong data/code quality practices.

Responsabilidades

• Build ML models for robotics control end-to-end, including data curation, evaluation, architecture, and training/inference stacks.
• Collaborate with simulation and robotics teams to curate high-quality, diverse, large-scale datasets.
• Curate datasets for embodied perception and robot video generation.
• Design generative simulation techniques to expand data scale for 3D objects/environments and language/code models for tasks and rewards.
• Collaborate with a team committed to building general-purpose Physical AI.

Conhecimentos

ML research

Python

Data quality

Model evaluation

Ownership

Publications

Descrição da oferta de emprego

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