1 час назад
Senior Research Scientist, Large Behavior Models (Robotics)
180 000 - 258 750$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Research Scientist, Large Behavior Models (Robotics): Building general-purpose robot foundation models and scalable machine-learning pipelines for learning long-horizon dexterous behaviors from embodied and online data with an accent on robot learning, generative models, and deployment on physical robotic systems. Focus on designing high-performance training and data stacks, integrating learned models with robotic hardware, and driving research impact through internal capabilities and high-impact publications.
Location: Cambridge, Massachusetts, United States; hybrid workplace
Salary: $180,000–$258,750 per year for Massachusetts-based roles, with an annual cash bonus structure
Company
develops AI, robotics, driving, and material-science technologies focused on improving human life and advancing mobility.
What you will do
- Build useful robots and general-purpose robot foundation models with a cross-functional research team.
- Implement and create state-of-the-art methods for robot behavior learning from interactive embodied data and online data sources.
- Design high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
- Develop internal robotics capabilities and contribute to high-impact external research publications.
- Collaborate with internal research scientists and partner laboratories at MIT, Stanford, Berkeley, CMU, Columbia, and Princeton.
Requirements
- PhD in computer science, machine learning, robotics, or a closely related field.
- Experience training large models and deploying them on embodied systems, particularly for robotic manipulation.
- Strong Python development skills and familiarity with mixed C++/Python codebases.
- Extensive practical machine-learning experience with PyTorch or TensorFlow, including data pipelines, model serving, optimization, cloud training, and dataset management.
- Strong understanding of robot learning, including generative models, reinforcement learning, and/or world models.
- Practical experience with physical robots, system integration, and research deployment on hardware platforms.
Nice to have
- Industry experience in robotics and machine-learning research.
- Experience with ROS 2, communication protocols, modern ML infrastructure, or VR-based teleoperation.
- Knowledge of motion control, whole-body control, robotic simulation, visual perception, depth sensors, force and tactile sensing, or haptic interfaces.
Culture & Benefits
- Collaborative, diverse, and inclusive research environment.
- Medical, dental, and vision insurance.
- 401(k) eligibility and paid vacation, sick time, and parental leave.
- Annual cash bonus structure.
- Research impact is measured through capability development, open-source software, and publications.
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