Foundation Models

Genesis AI; Paris; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Vision-Language-Action models exposure

Job summary

Genesis AI in Paris is seeking a senior ML researcher to build end-to-end models for robotics control, covering data curation, evaluation, architecture, training and inference stacks.

You will collaborate with simulation and robotics teams to curate diverse, large-scale datasets and push the boundaries of embodied perception and generative simulation.

A strong publication record or impactful projects and 5+ years of experience, plus deep Python expertise, are highly valued.

Qualifications

• Candidate must have strong track record in foundation model research and engineering.
• Shows ownership and ability to solve problems independently.
• 5+ years of relevant ML research or engineering experience with publications or impactful projects.
• Focus on high-quality data and reproducible experimentation.
• Production-level Python proficiency.

Responsibilities

• Build end-to-end ML models for robotics control, incl. data curation, evaluation, and training/inference stacks.
• Collaborate with simulation and robotics teams to curate diverse, large-scale datasets.
• Develop generative simulation methods for scalable data and models to generate tasks and rewards.
• Work with a team focused on advancing general-purpose Physical AI.

Skills

Full-stack foundation model research

Ownership and initiative

ML research

Data and code quality

Python programming

Job description

What You\'re 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