Foundation Models

Genesis AI; San Carlos (CA); Vor Ort; USD 130.000 - 190.000; Vollzeit

Zusammenfassung

Genesis AI is seeking a seasoned machine learning researcher/engineer to build end-to-end robotics control models, curate large-scale datasets, and advance embodied perception with generative simulation techniques. You will collaborate across robotics teams to create high-quality data and evaluate novel ideas with rigorous experiments.

The role emphasizes ownership, data/code quality, and production-level Python, with bonus for Vision-Language-Action models and related areas.

Qualifikationen

• 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

Aufgaben

• 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

Kenntnisse

Foundation model research

Independent problem solving

ML idea development

Rigorous evaluation

Data quality & metrics

Vision-Language-Action models

Ausbildung

5+ years ML research experience

Tools

Python

Data pipelines

Jobbeschreibung

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