Toyota Research Institute · 2 months ago
Senior Research Scientist, Human Aware Interaction and Learning
Cambridge, MA
Full-time
Hybrid
Mid, Senior Level
$180K/yr - $270K/yr
3+ years expToyota Research Institute (TRI) is on a mission to improve the quality of human life through innovative research in mobility and human-centric AI. The Senior Research Scientist in Human Aware Interaction and Learning will lead research efforts in machine learning, focusing on human-machine interaction and shared control, and will work with a multidisciplinary team to develop technologies that impact real-world applications.
Artificial Intelligence (AI)AutomotiveConsumer ResearchMachine LearningProduct Research
Responsibilities
Conduct ambitious research on large-scale computational behavior models that enable shared autonomy and human-machine interactions on the road – Human-Centric ML that solves open problems of high practical value, validating the approaches in real-world benchmarks and systems
Push the boundaries of knowledge and the state of the art in Human-Machine Interaction and Shared Control in driving and robotics contexts
Partner with a multidisciplinary team including other research scientists and engineers across the Human Interactive Driving team, TRI, Toyota, and our university partners
Stay up to date on the state-of-the-art in Machine Learning ideas and software
Present results in verbal and written communications, internally, at top international venues, and via open source contributions to the community
Lead collaborations with our external research partners (e.g., MIT, Stanford, UMich) and mentor research interns
Create ambitious new technologies in the space of interaction learning, interactive machine learning, imitation/reinforcement learning, and large-scale models
Qualification
Required
Bachelor's or Master's degree in a quantitative field with 5 years of experience (e.g. Computer Science, Mathematics, Physics, Engineering, Chemistry) or Ph.D. with 3-7 years of experience, or deep expertise in one key area (Machine Learning, Robotics, Computer Vision, Human-Machine Interaction, Human Behavior Modeling) or related fields that leverage ML for understanding and interacting with humans
Consistent track record of publishing at high-impact conferences/journals (CVPR, ICLR, NeurIPS, ICML, CoRL, RSS, ICRA, ICCV, ECCV, PAMI, IJCV, etc.)
Experience with ML and use of scientific Python, Unix, and a common DL framework (preferably PyTorch)
Experience with distributed learning (especially on AWS) is a plus
Experience with ML work on LLMs and/or other large-scale models
Experience with task-learning (imitation or reinforcement learning) is a plus
You can collaborate with other researchers and engineers to complete new ML projects, from initial idea to working solution and publication
You are passionate about developing and applying human-centric artificial intelligence for societal good
You are a reliable team player and like to think big and go deeper
You care about openness and delivering with integrity
Preferred
Experience with distributed learning (especially on AWS) is a plus
Experience with ML work on LLMs and/or other large-scale models
Experience with task-learning (imitation or reinforcement learning) is a plus
Benefits
Medical, dental, and vision insurance
401(k) eligibility
Paid time off benefits (including vacation, sick time, and parental leave)
Annual cash bonus structure
Company
Toyota Research Institute
Toyota Research Institute is an R&D enterprise with an initial focus on artificial intelligence and robotics.
201-500 employees
H1B Sponsorship
Toyota Research Institute has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (10)
2020 (7)
Funding
Current Stage
Growth StageLeadership Team
Gill Pratt
CEO
Phillip Zackler
Chief Operating Officer and General Counsel
Recent News
2025-12-18
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