Foundation Models

Genesis; Paris; Sur place; EUR 70 000 - 100 000; Plein temps

Résumé du poste

Genesis is seeking senior researchers and engineers to build end-to-end machine learning models for robotics control. You will curate diverse, high-quality datasets and collaborate with simulation and real-world teams to push the boundaries of embodied perception and generative simulation.

Ideal candidates have 5+ years of experience with publications or impactful projects, a strong drive for excellence, and production-grade Python skills.

Qualifications

• Demonstrated excellence in full-stack foundation model research and engineering.
• Ownership and initiative—solving problems independently.
• Extensive experience pioneering new ML ideas or refining methods; 5+ years with impact.
• Data and code quality, rigorous evaluation, and meticulous attention to detail.
• Production-level expertise in modern Python.

Responsabilités

• Build ML models for robotics control end-to-end: data curation, evaluation, architecture, training/inference stacks.
• Collaborate with simulation and real-world robotics teams to curate large-scale datasets.
• Curate Internet-scale datasets for embodied perception and robot video generation.
• Design generative simulation techniques to expand data scale and diversity for 3D objects/environments.
• Collaborate with a team committed to building general-purpose Physical AI.

Connaissances

Full-stack foundation model research

Python

Independent problem solving

Publications / projects

Robotics / AI vision

Outils

Python

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