Machine Learning Research Engineer/Scientist

The role

You will work on software and algorithms that enable robots to complete dexterous manipulation tasks in home environments. You will design robot learning algorithms and leverage large-scale data collection to develop generalizable behaviors.

What you will do

• Design and develop state-of-the-art robot learning algorithms for manipulation and controls
• Leverage large-scale in-the-wild data collection to develop generalizable robot behaviors
• Own the end-to-end loop from task definition and data curation to model training, evaluation, and on-robot deployment
• Collaborate closely with a full-stack robotics team to develop a consumer personal robot
• Write maintainable, production quality code for research and deployment

Required qualifications

• 3+ years (or equivalent) working on machine learning for robotics, controls, or perception
• Proficiency with Python and any deep learning framework
• Hands-on experience with robot learning for real-world tasks, including offline/online training and evaluation
• Implement tooling for visualization, debugging, and evaluation of data and learning pipelines
• Communicates clearly and collaborates effectively, thriving in fast-moving, cross-functional teams

Nice to have

• Familiarity with classical robotics fundamentals (e.g. controls, planning, state estimation)
• Comfortable profiling and optimizing for latency, memory, and compute on edge devices
• Experience with large-scale model training pipelines (LLM/VLM/VLA)
• PyTorch preferred

About the company

Sunday is developing personal robots to reclaim the hours lost to repetitive tasks. They are building across the entire robotics stack to make generalized robots broadly accessible.