Machine Learning Scientist/Engineer

Highlights

• Build foundation models for general-purpose robots across multiple embodiments.
• Turn frontier ML research into real-world evaluation on a growing robot fleet.
• Advance robot perception, reasoning, and action from large-scale video data.

What they offer

• Meaningful equity sharing in long-term success
• Annual market-benchmarked salaries
• Learning and development budgets for training and conferences
• Comprehensive health, dental, pension and parental leave benefits
• Relocation support where applicable

Ideal candidate

A research-minded ML scientist excited by embodied intelligence who thrives in fast-moving teams, owns ambitious experiments end-to-end, and wants frontier research to drive real robots in the physical world.

Requirements

• Experience in machine learning focused on multimodal foundation models and data
• Experience with scalable multi-node training on large datasets and models
• Strong research track record with publications in top-tier venues
• Strong engineering skills with modern machine learning frameworks
• Ability to design rigorous experiments and collaborate with engineering teams
• Experience translating research ideas into working systems or deployed capabilities
• Strong communication skills for sharing research clearly