Foundation Models

Genesis; Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Genesis seeks a senior ML engineer to build end-to-end machine learning models for robotics control, covering data curation, training, and evaluation. You will collaborate with simulation and real-world robotics teams to curate large-scale datasets and design generative simulation techniques to expand data for embodied perception and video generation.

A passion for rigorous experimentation and high-quality code is essential.

Qualifications

• 5+ years of ML research or engineering in production settings.
• Strong track record with robust evaluation and dataset curation.
• Proficient in Python for research and deployment.
• Experience with robotics or embodied perception is a plus.

Responsibilities

• Build end-to-end ML models for robotics control from data curation to training and evaluation.
• Collaborate with simulation and real-world robotics teams to curate large-scale datasets.
• Curate world-scale datasets for embodied perception and first-person robot video generation.
• Design generative simulation techniques to expand data scale and diversity for 3D objects and environments.
• Collaborate with a team dedicated to advancing physical AI.

Skills

Foundation model research

Independent problem solving

First-author publications

Data quality & evaluation

Python proficiency

Vision-Language-Action models

Job description

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