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Staff Machine Learning Research Scientist

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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 world-class teams in Human-Centered AI, Energy & Materials, Human Interactive Driving, Large Behavioral Models, and Robotics.

TRI’s Harmonious Communities Department within our Human-Centered AI (HCAI) Division has an immediate opening for a Staff AI Research Scientist interested in our core topic domain of social well-being and the future of work. We are looking for someone with expertise in and enthusiasm for machine learning research (e.g., model architecting, simulations, complex datasets).

We are particularly keen to talk with people who have interest or experience in using real-world, human-level data to model prefactuals and counterfactuals (e.g., multi-agent-based modeling, reinforcement learning, causal inference + ML, RDM + AI, Graph Neural Networks). We are launching a new project space, and want a colleague who can help define and build this trajectory.

Our mission is to use research to foster Toyota’s global mission of “wellbeing and happiness for all,” and this challenge motivates everything we do. We are a coordinated team of behavioral scientists, ML researchers, and human-computer interaction experts. The person who accepts this opportunity must have a strong interest in collaborating across all of these domains. Additionally, this role will work with teams across Toyota to design and pilot technologies that help us to better understand the social dynamics within and around our workplaces. Candidates should be self-starting and interested in making contributions within a multidisciplinary team project.

Responsibilities

Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that models emergent properties in social systems
Stay current on the state-of-the-art in Machine Learning theories, practice, and software
Collaborate with scientists in the Harmonious Communities Department to shape and craft our research program and to communicate research to Toyota collaborators and stakeholders
Publish findings in academic journals and/or conferences (e.g., KDD, ICWSM, WWW, ACL, EMNLP, NAACL, AAMAS, CSCW)
Contribute to technology transfer of research throughout Toyota

Qualifications

7+ years of experience with PhD in computer science, machine learning, computational social science, or related field, with a broad knowledge of machine learning approaches and theory. We encourage candidates to apply even if they don’t meet every qualification. We value diverse experience and are open to learning more about how your unique skills could contribute to the team.
Experience with simulation / prefactual / counterfactual approaches (multi-agent-based modeling, GNNs, Robust Decision Modeling + AI, etc.)
Experience with architecting ML systems across diverse data sources (text, time-series data, tabular data, etc.), including familiarity with cloud platforms (AWS, GPC, or Azure), virtualization (Docker), and orchestration (Kubeflow, Metaflow).
Proficiency in ML frameworks (e.g. scikit-learn, PyTorch, TensorFlow, Keras), and tools for big data analysis (e.g. Databricks, Sagemaker, SQL, Spark).
Ability to communicate complex concepts clearly across different audiences
Strong interpersonal skills, enthusiastic collaborator, and great teammate
Heavy interest in research to facilitate social wellbeing

Bonus Qualifications

Experience with time series modeling and data analysis
Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span several years
Familiarity with human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies

The pay range for this position at commencement of employment is expected to be between $228,800 and $343,200/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

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What You Should Know About Staff Machine Learning Research Scientist, Toyota Research Institute

At Toyota Research Institute (TRI), we're on a mission to genuinely enhance the quality of human life by developing groundbreaking tools and capabilities. As a Staff Machine Learning Research Scientist, you'll play an essential role in our Harmonious Communities Department, where we're focusing on social well-being and the future of work. We’re looking for someone who's not just experienced, but also deeply passionate about machine learning research, particularly in model architecting, simulation, and handling complex datasets. In this dynamic position, you'll dive into real-world data to explore prefactuals and counterfactuals using innovative techniques like multi-agent-based modeling and causal inference. Collaborating with a multidisciplinary team of behavioral scientists, ML researchers, and human-computer interaction experts, you'll help shape our research program and engage with colleagues across the globe. At TRI, we believe in the power of research to foster Toyota’s global mission of “wellbeing and happiness for all.” If you're a self-starter excited to contribute to groundbreaking projects, we want to hear from you! Your experience, especially with diverse data sources and machine learning frameworks, will be invaluable as you publish your findings and convey complex concepts to various audiences. Join us in making a difference while enjoying a supportive work environment rich with opportunities for personal and professional growth. Plus, with our competitive salary range of $228,800 to $343,200 annually, and a robust benefits package, you'll be well-compensated for your talents. Let's create innovative solutions together and improve lives worldwide.

Frequently Asked Questions (FAQs) for Staff Machine Learning Research Scientist Role at Toyota Research Institute

What are the primary responsibilities of a Staff Machine Learning Research Scientist at Toyota Research Institute?

As a Staff Machine Learning Research Scientist at Toyota Research Institute (TRI), your core responsibilities will involve collaborating with a multidisciplinary team to explore social well-being and future work environments. You’ll specifically focus on developing and assessing technology that can model emergent properties in social systems. This role requires staying updated on machine learning advancements and effectively communicating your research findings to both internal colleagues and broader audiences. You'll also participate in publishing your results in prestigious academic journals and contribute to the technology transfer of research outputs throughout TRI.