Sunday (sunday.ai)

Sunday (sunday.ai)

Machine Learning Research Engineer/Scientist

Redwood City, CA

Sponsorship not specifiedDetected 100 days ago
PythonFull-Stack DevelopmentAlgorithmsMachine LearningDeep LearningPyTorchLLMsRoboticsResearch

About the role

  • We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
  • If you are ready to apply your skills to the forefront of robotics innovation, we'd love to hear from you.
  • We're training state-of-the-art AI models that leverage our large-scale, high-quality, real-world data collection system.

Responsibilities

  • 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
  • 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)
  • Even if you don't meet every single requirement, we encourage you to apply.
  • Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don't want that to be the reason we miss out on great talent.

Skills

  • What to Expect

Benefits

  • Design and develop state-of-the-art robot learning algorithms for manipulation and controls
  • 3+ years (or equivalent) working on machine learning for robotics, controls, or perception
  • Proficiency with Python and any deep learning framework (PyTorch preferred)
  • 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

This listing is sourced directly from Sunday (sunday.ai)'s careers page and normalized into a canonical job model.