Senior Principal Scientist driving nonclinical safety strategies for Degrader - Antibody Conjugate programs at Orum Therapeutics. Overseeing nonclinical toxicology studies and collaborating with cross - functional teams.
TI
Hybrid Senior Research Scientist, Large Behavior Models
Posted 2 months ago
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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