Foundation Models

Genesis; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Genesis is seeking a senior ML researcher/engineer to build end-to-end models for robotics control, collaborating with simulation and real-world teams.

You will curate data, design generative simulation for embodied perception and video generation, and advance Physical AI with a strong Python production mindset and ownership.

Qualifications

• 5+ years in ML research/engineering roles.

Responsibilities

• Build end-to-end ML models for robotics control, incl. data curation, evaluation, architecture, training/inference stacks.
• Collaborate with simulation and robotics teams to curate large, diverse datasets.
• Curate large-scale internet datasets for embodied perception and robot video generation.
• Design generative simulation methods to expand data scale and diversity, training and evaluating generative models of 3D objects/environments, and language/code models to generate tasks and rewards.
• Collaborate with a team to advance general-purpose Physical AI.

Skills

Full-stack foundation model research &

Ownership & initiative

Data quality & rigorous evaluation

First-author publications / impactful

Python production-level

Vision-Language-Action models (bonus)

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