4 часа назад
Machine Learning Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Robotics): Building end-to-end machine learning systems for robotics control and embodied perception with an accent on large-scale datasets, generative simulation, and foundation model engineering. Focus on designing training and inference stacks, generating diverse 3D environments and robot tasks, and rigorously evaluating models for Physical AI.
Location: Bay Area, United States; on-site
Company
builds general-purpose Physical AI for robotics.
What you will do
- Build machine learning models for robotics control across data curation, evaluation, architecture, training, and inference.
- Collaborate with simulation and real-world robotics teams to create high-quality, diverse, large-scale datasets.
- Curate Internet-scale datasets for embodied perception and first-person robot video generation.
- Design generative simulation techniques and train and evaluate generative models for 3D objects and environments.
- Develop language and code model approaches for generating robotics tasks and reward functions.
Requirements
- Demonstrated excellence in full-stack foundation model research and engineering.
- Extensive experience developing new machine learning methods or refining existing approaches, supported by first-author publications or impactful projects.
- 5+ years of relevant experience.
- Production-level expertise in modern Python.
- Strong ownership, initiative, data and code quality standards, and rigorous evaluation practices.
- Ability to work on-site in the Bay Area.
Nice to have
- Experience with Vision-Language-Action models for robotics or web agents.
- Experience with embodied perception or video generation.
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