Human–Aware Interaction Learning Research Scientist

Toyota Research Institute • Cambridge, MA

76d

About The Position

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics. Our Human-Aware Interaction and Learning team is looking for Research Scientists with experience in machine learning relating to fields such as Reinforcement Learning, Shared Control, Computer Vision, Language-based models, and Human-Machine Interaction. We work to make progress on a key challenge to unlock the full potential of artificial intelligence in a human world: how do we teach machines to understand and engage in diverse, open-ended interactions with human users? As a Research Scientist, you will work with a multidisciplinary team proposing, conducting, and transferring innovative research in Machine Learning for human-centric applications. You will use large amounts of real-world and simulated sensory data to solve open problems, publish at top academic venues, and test your ideas in the real world (including our innovative motion simulators, test vehicles, and robots). You will help to transfer and ship our most successful algorithms and models towards real-world advanced assistance systems, touching millions of lives.

Requirements

• 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. 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.
• Ability to collaborate with other researchers and engineers to complete new ML projects, from initial idea to working solution and publication.
• Passion for developing and applying human-centric artificial intelligence for societal good.
• Reliability as a team player and a mindset to think big and go deeper.
• Commitment to openness and delivering with integrity.

Responsibilities

• Conduct ambitious research on large-scale computational behavior models that enable shared autonomy and human-machine interactions on the road.
• 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.

What This Job Offers

• Education Level: Master's degree
• Number of Employees: 101-250 employees