Machine Learning Research Engineer/Scientist
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Summary
Develops the machine learning behind consumer personal robots, building algorithms that let home robots do dexterous manipulation. Day to day: design robot learning algorithms for manipulation/controls, curate real-world fleet data, train and evaluate models, and deploy them on robots with production-quality Python code.
You will develop software and algorithms that enable robots to complete dexterous manipulation tasks in home environments. You will use real-world data and fleet feedback to develop behaviors, curate data, train and evaluate models, deploy them on robots, and write production-quality code.
Responsibilities
- Design and develop robot learning algorithms for manipulation and controls
- Use large-scale real-world data to develop generalizable robot behaviors
- Own task definition, data curation, model training, evaluation, and on-robot deployment
- Collaborate on consumer personal robot development
- Write maintainable production-quality code
Requirements
- 3+ years or equivalent experience in machine learning for robotics, controls, or perception
- Proficiency with Python and a deep learning framework
- Experience with robot learning for real-world tasks, including offline and online training and evaluation
- Experience implementing visualization, debugging, and evaluation tooling for data and learning pipelines
- Communication and cross-functional collaboration skills
Benefits
- Equity
