1 час назад
Machine Learning Research Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Research Engineer (Robotics): Building and deploying robot learning algorithms that enable dexterous manipulation in home environments with an accent on large-scale real-world data, generalizable behaviors, and embodied AI. Focus on owning the loop from task definition and data curation through model training, evaluation, and on-robot deployment.
Location: Redwood City, California, United States; on-site
Company
is building consumer personal robots that use embodied AI to perform repetitive household tasks.
What you will do
- Design and develop robot learning algorithms for dexterous manipulation and controls.
- Use large-scale real-world data collection to develop generalizable robot behaviors.
- Own the workflow from task definition and data curation to model training, evaluation, and on-robot deployment.
- Collaborate with a cross-functional robotics team developing a consumer personal robot.
- Write maintainable, production-quality code for research and deployment.
Requirements
- 3+ years or equivalent experience in machine learning for robotics, controls, or perception.
- Proficiency in Python and a deep learning framework; PyTorch is preferred.
- Hands-on experience with robot learning for real-world tasks, including offline and online training and evaluation.
- Experience building tooling for visualization, debugging, and evaluation of data and learning pipelines.
- Clear communication and effective collaboration in fast-moving, cross-functional teams.
Nice to have
- Knowledge of classical robotics fundamentals, including controls, planning, and state estimation.
- Experience profiling and optimizing latency, memory, and compute on edge devices.
- Experience with large-scale model training pipelines such as LLM, VLM, or VLA systems.
Culture & Benefits
- Work as an early member of a small, cross-functional robotics team.
- Contribute to an ambitious effort to make generalized personal robots broadly accessible.
- Collaborate in an environment shaped by curiosity, creativity, and diversity.
- Equal opportunity employment is provided to qualified applicants.
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