Hybrid Senior Research Scientist, Large Behavior Models

at Tri-global Solutions Group Inc.

• Job title: Senior Research Scientist, Large Behavior Models
• Job type: Full Time
• Experience level: Senior
• Salary: $180,000 - $270,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Cambridge, United States

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