Machine Learning Software Engineer

Highlights

• Build foundation models for general-purpose robots across embodiments.
• Design scalable pipelines for video, language and robot-interaction data.
• Shape ML systems moving real vehicles safely as a founding MEGA member.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity sharing in long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on work in workshops and labs
• Learning and development budgets for training and conferences
• Comprehensive benefits including health insurance, dental, parental leave and pension

Ideal candidate

A strong software engineer who loves building reliable ML infrastructure and thrives in ambiguous, fast-moving research teams to bring embodied AI to the real world.

Requirements

• Strong software engineering skills building high-quality, maintainable software
• Experience building and maintaining ML pipelines for data ingestion, training, evaluation and experimentation
• Experience designing reliable, reusable software systems and abstractions
• Hands-on experience with modern ML frameworks and ML training workflows
• Strong debugging skills across complex ML systems
• Experience raising codebase quality through architecture, testing, documentation and standards