Wissenschaftlicher Mitarbeiter in Mikrobiologie bei MVZ diagnosticum GmbH. Verantwortlich für Projektleitung und fachliche Anleitung im medizinischen Labor.
TI
Hybrid Senior Research Scientist, Large Behavior Models
Posted last month
About the role
- Research Scientist creating general-purpose robots through embodied machine learning at Toyota Research Institute. Collaborating with top academic labs to revolutionize robotics and AI technology.
Responsibilities
- Work as part of a dynamic, closely-knit research team building useful robots and general-purpose robot foundation models.
- Implement, extend, and create innovative methods for robot behavior learning from a mixture of interactive embodied data and online data sources.
- Design and implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
- Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publication.
- Collaborate with internal research scientists and our partner labs at top academic research universities including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale.
Requirements
- 4+ years of relevant industry experience or a PhD.
- Experience training large models and deploying them on embodied systems.
- Strong software development skills in Python, familiarity with mixed C++/Python codebases, and a focus on clean, maintainable code.
- Extensive experience with Machine Learning using a major framework such as PyTorch or TensorFlow. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management.
- Strong understanding of the state-of-the-art in robot learning, including vision-language-action (VLA) models, reinforcement learning, and/or computer vision.
- Practical experience with robots and the system integration challenges inherent in conducting research and deploying onto physical hardware platforms.
- An ability to adapt quickly and switch between modes of rapid prototyping and robust implementation as required.
- A consistent track record of impact, either via first author research publications at top-tier machine learning or robotics conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, …), or via relevant contributions to successful industry initiatives.
Benefits
- medical, dental, and vision insurance
- 401(k) eligibility
- paid time off benefits (including vacation, sick time, and parental leave)
- annual cash bonus structure
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