Foundation Models

Genesis AI; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Genesis AI in the United States is seeking a senior machine learning researcher to build end-to-end models for robotics control, including data curation, evaluation, and training stacks. You will collaborate with simulation and real-world robotics teams to assemble large-scale datasets and design generative techniques for 3D objects and environments.

A track record of first-author publications or notable projects and production-level Python expertise are essential; bonus for

Qualifications

• 5+ years of ML research/engineering with publications or impactful projects.
• Strong data curation, evaluation, and reproducibility practices.
• Experience developing end-to-end ML systems for robotics.
• Ability to work independently and take ownership.
• Proficiency in Python and ML frameworks.
• Bonus: Vision-Language-Action / robotics perception or video generation.

Responsibilities

• Build end-to-end machine learning models for robotics control, including data curation and evaluation.
• Collaborate with simulation and real-world robotics teams to curate large-scale datasets.
• Curate datasets for embodied perception and first-person robot video generation.
• Design generative simulation techniques to expand data scale and diversity for 3D objects/environments.
• Collaborate with a driven team to advance general-purpose Physical AI.

Skills

Full-stack foundation model research

Ownership & initiative

Data quality & rigorous evaluation

Publication track record / impactful /

Production-level Python

Vision-Language-Action experience (bon

Tools

Python

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