Toyota Research Institute

At Toyota Research Institute (TRI), we’re working to build a future where everyone can benefit from robot-assisted amplification, from reducing vehicle collisions to home assistance. Join us in our mission to improve the quality of human life through advances in artificial intelligence, automated driving, and robotics. We’re dedicated to building a world of “mobility for all” where everyone, regardless of age or ability, can live in harmony with technology to enjoy a better life. Through innovations in AI, we:

– Develop vehicles incapable of causing a crash, regardless of the actions of the driver.
– Develop technology for vehicles and robots to help people enjoy new levels of independence, access, and mobility.
– Bring sophisticated mobility technology to market faster.
– Discover new materials that will make drive batteries and hydrogen fuel cells smaller, lighter, less expensive, and more powerful.

Our work is guided by a dedication to safety – in how we research, develop, and validate the performance of technology to benefit society. As a subsidiary of Toyota, TRI is fueled by a diverse and expansive community of people who carry invaluable leadership, experience, and ideas from industry-leading companies. Over half of our technical team carries Ph.D. degrees. We’re continually searching for the world’s best talent ‒ people who are ready to define the new world of mobility with us!

We strive to build a company that helps our people thrive, achieve work-life balance, and bring their best selves to work. At TRI, you will have the opportunity to enjoy the best of both worlds ‒ a fun start-up environment with forward-thinking people who enjoy solving global problems and the financial backing to optimally achieve our goals. If you’re passionate about working with smart people to make cars safer, enable the elderly to age in place, or design alternative fuel sources, TRI is the place for you. ‒ Start your impossible with us.

Our Machine Learning (ML) team is looking for Research Scientists in the broad area of ML Safety, including FATE-ML (Fairness, Accountability, Openness, and Ethics), to study the socio-technical limits of Computer Vision (cf. FATE-CV) and its broad applications in Robotics. We are aiming to make progress on some of the most important scientific challenges around the safe and effective usage of large robotic fleets, simulation, and prior knowledge (physics, proven experience, behavioral science), not only for automation but also for human augmentation.

As a Research Scientist, you will work with a multidisciplinary team combining research in learning theory (e.g., generalization guarantees, distributional and adversarial robustness, causal ML) with data, robot, and AI ethics (e.g., FAT-ML, DEI, privacy-preserving learning systems, governance principles, value alignment, XAI). You will work closely with other ML scientists and roboticists to invent principles and tools with a wide impact: from providing guarantees when ML pipelines are safe (or warn when not), to helping ensure compliance with AI regulations (and maybe even guide their definition), while helping roboticists bring to bear Computer Vision in alignment with user values and needs, at both personal and societal levels. Thanks to Toyota’s human-centric values, safety culture, and experience in safety-critical products, your inventions have the potential to ensure Computer Vision is used for good, at scale. Responsibilities and required qualifications are as follows:

Responsibilities:
Conduct ambitious research in ML Safety for Computer Vision in Robotics that solves open problems of high scientific, practical, and/or ethical value and validate it in real-world benchmarks and systems.
Partner with a multidisciplinary team including other research scientists and engineers across the ML team, TRI, Toyota, and our university partners.
Stay up to date on the state-of-the-art in Machine Learning and Safety ideas.
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 and mentor research interns.

Qualifications:
Bachelor’s or Master’s degree in Computer Vision, Machine Learning, Robotics, Control Theory, or related fields (Ph.D. preferred but not necessary).
Expertise in Computer Vision and at least one key ML Safety area among Fairness, Accountability, Transparency, AI Ethics, Learning Theory, Causality, or related fields.
Proven track record in the aforementioned areas, such as (but not limited to) publications at high-impact conferences/journals.
Some experience with one or more coding languages and systems, preferably python, Unix, and a DL framework (e.g., PyTorch).
You can identify, propose, and lead new research projects, working in collaboration with other researchers and engineers to complete it from initial idea to working solution.
You are passionate about the aforementioned topics, especially in the space of Automated Driving, Robotics, and for societal good in general.
You are a reliable team player. You like to think big and go deeper. You care about openness and delivering with integrity.

Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.

To apply for this job please visit jobs.lever.co.