Toyota Research Institute jobs in Los Altos, CA - 67 jobs

A leading technology research organization in California seeks a machine learning engineer to develop foundational models for robotics. The role involves enhancing hardware infrastructure, building APIs for data handling, and designing evaluation metrics. Ideal candidates have hardware and communication protocol experience, along with strong software skills in Python and a passion for robotics. Competitive pay ranges from $176,000 to $264,000, with a comprehensive benefits package. #J-18808-Ljbffr

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 advancing the state of the art in AI, robotics, driving, and material sciences. This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Internship As a Research Intern, you will work with a multidisciplinary team proposing, conducting, and transferring pioneering research on the intersection between Computer Vision and Robotics. You will use large amounts of data from different sources and modalities, and train large-scale foundation models aimed at solving open problems, work towards publications at top academic venues, and test your ideas in simulators as well as in the real world. The Team The Learning From Videos (LFV) team in the Robotics division is looking for research interns for the summer of 2026 in a variety of areas such as Video Generation, World Modeling, 4D Reconstruction, Multi-Modal Foundation Models, Multi-View Geometry, Data Augmentation, and Large Vision Models, with a primary focus on on embodied applications. We are aiming to make progress on some of the hardest scientific challenges around the deployment of robots in real-world unstructured environments, by leveraging data from different sources and modalities, and learning transferable priors grounded in the physical properties of the world. Our mission is to develop foundational models capable of understanding how the world works, and in doing so predict possible future states and adapt to new environments and circumstances. Responsibilities * Conduct daring research in Computer Vision that solves open problems of high theoretical and practical value, and evaluate solutions on real-world benchmarks and systems, with a focus on robotics. * Push the boundaries of knowledge and the state-of-the-art in Visual Systems for Robotics. * Partner with a multidisciplinary team, including other research scientists and engineers across the LFV team, the Robotics division, 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 at international conferences, internally, and via open-source contributions to the community. Qualifications * Currently pursuing a Ph.D. in Machine Learning, Robotics, or related fields. * Publication or desire to publish at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, CVPR, ICCV, ECCV, ICML, UAI, AISTATS, AAAI, TMLR, RSS, ICRA, IROS, RA-L, etc.) on some of the aforementioned topics. * Passionate about large scale challenges in ML and CV grounded in physical systems, especially in the space of robotics. * Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch). * Ability to collaborate with other researchers and engineers of the LFV team, and, more broadly, the Robotics division to invent and develop interesting research ideas. * A reliable teammate who loves to think big, go deeper, and deliver with integrity. Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. The Team The long-term vision of TRI's Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge cutting-edge computational materials modeling, experimental data, artificial intelligence, and automation to significantly accelerate materials research. Our focus is on developing tools and capabilities to enable this acceleration. We collaborate closely with a dozen universities and national labs and colleagues across global Toyota. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community more broadly. The Internship We're looking for a researcher/engineer who thrives at the intersection of machine learning and materials science and is motivated to develop the next generation of material representations-integrating signals from multiple characterizations and measured/computed properties to support accelerated materials design. In this role, you'll collaborate with TRI researchers to prototype, evaluate, and ship representation-learning approaches that can serve as a foundation for forward property prediction and inverse design workflows. This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be an in-office role. Responsibilities Build and maintain strong baselines comparing composition-only and structure-aware representations across a set of key property prediction tasks. Prototype and evaluate multi-view representation methods that integrate signals from multiple characterizations and properties. Develop a reusable evaluation and reporting pipeline to assess generalization, identify failure modes, and quantify uncertainty where appropriate. Curate datasets and implement preprocessing workflows that better capture complex materials systems and common sources of noise or ambiguity. Contribute high-quality, well-documented code to an internal codebase and help translate results into internal reports, publications, and/or patent disclosures (as appropriate). Qualifications Currently enrolled in a master's or doctoral program in materials science, computer science, statistics, applied math, machine learning, or a related discipline. Strong foundations in machine learning with demonstrated experience training models on real datasets. Familiarity with modern scientific ML approaches, including representation learning, uncertainty estimation, and/or physics-informed or hybrid physics-ML modeling. Proficiency in Python and modern ML tooling (e.g., PyTorch/JAX, experiment tracking, reproducibility best practices). Ability to work collaboratively across disciplines and to translate research ideas into working code. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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.

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 advancing the state of the art in AI, robotics, driving, and material sciences. Within the Human Interactive Driving division, the Extreme Performance Intelligent Control department is working to develop scalable, human-like driving intelligence by learning from expert human drivers. This project focuses on creating a configurable, data-driven world model that serves as a foundation for intelligent, multi-agent reasoning in dynamic driving environments. By tightly integrating advances in perception, world modeling, and model-based reinforcement learning, we aim to overcome the limitations of more compartmentalized, rule-based approaches. The end goal is to enable robust and adaptable, driving policies that generalize across tasks, sensor modalities, and public road scenarios-delivering ground-breaking improvements for ADAS, autonomous systems, and simulation-driven software development. We are seeking a highly motivated Research Scientist specializing in uncertainty-aware world models for autonomous vehicles. In this role, you will develop cutting-edge models that enable autonomous systems to perceive, predict, and interact intelligently with their environment. You will work at the intersection of machine learning, computer vision, robotics, and probabilistic modeling to build robust world models that improve perception, planning, and decision-making in self-driving systems. Responsibilities * Develop and refine world models that improve the understanding of sophisticated and dynamic driving environments. * Research and implement deep learning, reinforcement learning, and probabilistic modeling techniques for improved scene representation and prediction. * Design algorithms that integrate sensor fusion, temporal reasoning, and uncertainty estimation to improve autonomous vehicle behavior. * Collaborate with cross-functional teams, including perception, planning, and simulation engineers, to develop real-time, scalable models for deployment. * Conduct experiments, simulations, and real-world validations to assess the effectiveness of world models. * Publish research findings in premier conferences and journals and contribute to the AI and robotics research community. * Stay up to date with advancements in machine learning, generative modeling, and simulation technologies. Qualifications * Ph.D. (or equivalent experience) in Machine Learning, Computer Science, Robotics, or a related field. * Strong background in probabilistic modeling, reinforcement learning, and deep learning architectures (e.g., Transformers, VAEs, Diffusion Models). * Strong understanding of Bayesian inference, state-space models, and uncertainty quantification. * Hands-on experience with world models, predictive modeling, or generative modeling in robotics or autonomous systems. * Prior experience in publishing research at NeurIPS, ICML, CVPR, ICRA, or similar. * Proficiency in Python and ML frameworks (TensorFlow, PyTorch, JAX). * Experience working with autonomous vehicle datasets, sensor modalities (LiDAR, camera, radar), and simulation environments. * Excellent problem-solving skills and the ability to work in a fast-paced team research environment. Please submit a brief cover letter and add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Department The mission of TRI Robotics is to invent and prove new robotic capabilities required to enable home robots to solve the challenges faced by an aging society. As part of that mission, we are developing a sophisticated suite of open source robotics software called Drake (*********************** for use in our internal robotics projects and the wider community of advanced robotics researchers. The Team Within TRI Robotics, the Dynamics and Simulation team develops Drake tools to model and simulate mobile robot dynamics, object manipulation, and perception. We emphasize physical accuracy and robust, performant software permitting controller synthesis, learning, analysis, regression testing, and design in simulation that transfers meaningfully to the real world. Features include: * Physics-based, high-fidelity, high-performance software tools for simulation of robots and vehicles interacting with their environments. * Multibody dynamics, rigid and soft body computational mechanics. * A unique hybrid dynamic system abstraction and infrastructure (like Simulink blocks, but differentiable and symbolically analyzable). * Solvers for dynamic systems (numerical integration of DAEs, time stepping, event handling). * Computational geometry, rendering, and contact response (emphasizing manipulation). * Validation of simulation accuracy and verification of software and numerical methods. This is open source, modern C++ software, developed using rigorous best practices including extensive unit and validation tests, detailed documentation, and collaborative pre-merge peer review. We encourage publication of novel work in peer-reviewed literature and collaboration with the wider robotics community. Our team consists of computer scientists and engineers trained at leading academic institutions and innovative companies, with research and practical experience in robotics, computer graphics, computational mechanics, multibody dynamics, numerical methods, and software engineering. We have considerable expertise in all these fields and a lot of software to write, so there is much interesting work to do and plenty of opportunity to extend your knowledge in any of the above areas. The Internship We are looking for an intern to work on a research project that will help us advance the capabilities of our simulation tools. During this internship you will collaborate with other software engineers and research scientists to develop physically-accurate, reliable, and fast models and algorithms that are relevant to the simulation and robotics community. Every day, you will work towards solving difficult modeling, mathematical, and implementation problems with a focus on accuracy of simulation results, and reliability and performance of software. Your challenge will be to distill physical and mathematical phenomena into the clearest possible software model, and make it work! The final goal is to publish in a scientific journal and to implement new capabilities in our open source software, Drake. Qualifications * Bachelor's degree in Computer Science or equivalent; advanced degree, physics and engineering background a plus. * Experience developing numerical methods and scientific software including physics-based simulation. * Solid grasp in at least some of linear algebra, differential equations, partial differential equations, nonlinear equations, geometry, and related numerical methods. * Excellent software development skills, preferably in C++ and/or Python. * Strong understanding of scientific software accuracy and performance issues and tradeoffs. * Bonus - deep knowledge and expertise in one or more of the following: hybrid systems, multibody dynamics, numerical integration, discrete and differential computational geometry, contact mechanics, differential-algebraic equations, high performance computing, GPU programming. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles, and between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. The Team The long-term vision of TRI's Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge cutting-edge computational materials modeling, experimental data, artificial intelligence, and automation to significantly accelerate materials research. Our focus is on developing tools and capabilities to enable this acceleration. We collaborate closely with a dozen universities and national labs and colleagues across global Toyota. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community more broadly. The Internship We are looking for an intern to contribute to the development and/or benchmarking of our probabilistic programming tools. Together, we will develop tools that provide insight into the design and testing of fuel cells, electrolyzers, or related devices. Your day-to-day may include: probabilistic programming, time-series analysis, structural causal model development, and/or machine learning model development. We welcome you to join a unique team of scientists and engineers where you will constantly learn new skills at the interface of materials science and AI.Qualifications Currently enrolled in a doctoral program in computer science, statistics, applied math, machine learning, or a related discipline. Have experience with probabilistic programming or probabilistic machine learning applied to time series modeling. Have experience with standard machine learning tools in Python such as PyTorch, JAX, etc. Bonus: Have experience with structural causal modeling, causal inference, causal learning, and/or experience with chemistry or material science. Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Team The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models. The Internship We are looking for Machine Learning Research Interns to join our autonomy team and help bring end-to-end ML models ( pixels to trajectories ) into robust, testable, and deployable systems. This role is ideal for those who thrive at the intersection of machine learning, systems engineering, and real-world deployment. This internship opportunity is a paid 12-week internship for Summer 2026. Please note that this internship will be a hybrid in-office role. You'll contribute to the implementation, evaluation, and integration of ML-based components for perception, planning, and control; with simulation-based testing. You'll work closely with researchers, data engineers, and autonomy engineers to ensure models scale from prototype to production. This work is part of Toyota's global AI efforts to build a more coordinated global approach across Toyota entities. Responsibilities * Conduct ambitious research to advance the state-of-the-art in using new capabilities in generative modelling for end-to-end planning from vision in automated driving. * Implement scalable end-to-end architectures that process raw sensor data to generate vehicle trajectories, addressing the challenges of long-tail driving scenarios with low data coverage. * Prototype, validate, and iterate on model architectures using imitation learning, and large-scale data, ensuring robust performance across diverse scenarios. * Perform closed-loop evaluations in sensor simulations and real-world testing environments. * Explore multi-modal and language-conditioned models to broaden the applicability of end-to-end policies, leveraging external data sources and transfer learning to enhance generalization. Qualifications * Currently pursuing a Ph.D. or equivalent experience in Computer Science, Robotics, Engineering, or a related field. * Proficiency in Python for implementing and evaluating research ideas. * Experience with ML frameworks such as PyTorch. * Understanding of version control, testing, and software engineering fundamentals. * Passion for collaborative engineering and building reliable ML systems that support real-world autonomy. Bonus Qualifications * Experience in ML engineering workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization. * Understanding of debugging and profiling on NVIDIA CUDA stack. * Hands-on experience with metrics dashboards, experiment tracking, and ML ops tooling (e.g., Weights & Biases, MLflow, Metaflow). * Hands-on experience working with robotics or real-world sensor data (e.g., video, lidar, IMU, or radar). * Experience in state-of-the-art architectures for object detection and 3D perception. * Familiarity with foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures, large-scale distributed training. * Experience working with ROS, simulation frameworks (e.g., CARLA, Nvidia DriveSim), or vehicle interfaces. * Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, or model predictive control, or experience with automated driving domains (e.g., perception, prediction, mapping, localization, planning, simulation). Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles, and between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. This is a summer 2026 paid 12-week internship opportunity. Please note that this internship will be an in-office role. The Mission We are working to create general-purpose robots capable of accomplishing a wide variety of dexterous tasks. To do this, our team is building general-purpose machine learning foundation models for dexterous robot manipulation. These models use generative AI techniques to produce robot action from sensor data and human request. To accomplish this, we are creating a large curriculum of embodied robot demonstration data and combining that data with a rich corpus of internet-scale text, image, and video data. We are also using high-quality simulation to augment real world robot data with procedurally-generated synthetic data. The Team The Robotics Machine Learning Team's charter is to push the frontiers of research in robotics and machine learning to develop the future capabilities required for general-purpose robots able to operate in unstructured environments such as homes or factories. The Internship We have several research thrusts under our broad mission, and we are looking for a research intern in any of these areas: Data-efficient and general algorithms for learning robust policies leveraging multiple sensing modalities: proprioception, images, 3D representations, etc. Data annotation and filtering. Improving policies without collecting more data by using non-robotics data at scale, new training objectives, new data annotations, or filtered datasets. Scaling learning approaches to large-scale models trained on diverse sources of data, including web-scale text, images, and video. Structured hierarchical reasoning using learned models Leveraging test time compute for embodied applications Multimodal reasoning models Reinforcement Learning for multimodal models Leveraging history and memory for learning policies for long context tasks. Improving robustness and few-shot generalization by leveraging sub-optimal and self-play data. Interactive agents that can reduce the embodied and instructional ambiguity and can seek help and clarification. The intern who joins our team will be expected to create working code prototypes, interact frequently with team members, run experiments with both simulated and real (physical) robots, and participate in publishing the work to peer-reviewed venues. We're looking for an intern who is comfortable working with both existing large static datasets as well as a growing dynamic corpus of robot data. Qualifications * Experience with machine learning and familiarity with large multimodal datasets and models. OR Hands-on experience with using machine learning for learned control, including RL, offline RL or behavior cloning, for manipulation. * Strong software development skills in Python. * A "make it happen" attitude and comfort with fast prototyping. * A passion for robotics and doing research grounded in important fundamental problems. Bonus Qualifications * Hardware experience. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models. We are looking for a Software Engineer to join our growing team and contribute to the integration and deployment of our automated driving stack on real-world vehicles. As a generalist engineer, you will work across the autonomy system, helping implement features, set up infrastructure, and improve the performance and robustness of our real-time autonomy stack. You'll work alongside senior engineers and researchers across TRI and Woven, gaining exposure to multiple parts of the system while deepening your expertise in modern robotics and vehicle software.This role is ideal for an engineer with a strong foundation in C++ and Python, an interest in real-world systems, and a desire to grow in a fast-paced, collaborative environment. You'll partner closely with end-to-end machine learning, simulation and infrastructure teams to ensure that the full stack runs robustly on real vehicles in closed-course, public road and simulation testing. This work is part of Toyota's global AI efforts and will be conducted in close collaboration with teams across TRI, Woven by Toyota, and other engineering partners.Responsibilities Implement and maintain software components in Python and C++ that support ML training, evaluation, and inference workflows. Contribute to data pipelines and tooling for dataset preparation, experiment tracking, and offline analysis. Assist with model export and inference prototyping, including testing models on embedded or edge compute platforms. Contribute to tools for diagnostics, logging, and runtime debugging of end-to-end ML systems. Build and maintain test harnesses, CI integration, and system-level validation tools. Follow engineering best practices in code reviews, documentation, and testing. Qualifications Bachelor's or Master's degree in Computer Science, Robotics, or a related field. 3+ years of relevant industry experience in robotics, embedded, or distributed systems. Proficiency in modern C++ (C++14 or newer) and Python. Familiarity with Linux development, systems programming, or real-time software. Interest in machine learning systems, robotics, or large-scale software platforms. Comfort with collaborative development, hands-on debugging, and system-level testing workflows. Enthusiasm for learning from and contributing to a multi-disciplinary, cross-functional team. Bonus Qualifications Exposure to machine learning pipelines, data processing, or model evaluation. Familiarity with model formats or inference runtimes (e.g., ONNX, TensorRT, or similar). Hands-on experience with edge or embedded compute platforms (e.g., NVIDIA Jetson), even at a prototype or coursework level. Experience in automated driving, robotics, or simulation-based system testing. Familiarity with containerized development or deployment (e.g., Docker). Experience working with distributed compute systems, large-scale data logging, or introspection frameworks. Prior experience in fast-paced R&D environments bridging research and production. Understanding of automotive software practices and standards (e.g., ISO 26262, safety-critical development). Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $152,000 and $228,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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.

Founded in 2017, Toyota Ventures is a San Francisco Bay Area-based venture capital firm with approximately $800M+ AUM that invests in early-stage startups around the world in frontier and climate technologies. We are on a mission to discover what's next for Toyota by helping startups bring groundbreaking technologies and business models to market quickly. We've invested in over 90 companies to date, including AM Batteries, Bipi (acquired), Blackmore (acquired), Efficient Computer, Joby Aviation (NYSE: Joby), Living Carbon, May Mobility, Orbital Materials, Revel and Stoke Space. Our portfolio companies are our customers. Their success is our success, and we're looking for a customer-focused professional who is passionate about helping startups. This role will support portfolio companies across both our Frontier and Climate funds in areas such as AI, mobility, autonomy, robotics, space, materials, hydrogen, renewable energy, and carbon solutions. As a portfolio engagement director on the platform team, you will work closely with startup executives to champion their needs and support their growth in areas like customer discovery and business development, while also working to deliver strategic value to Toyota. Our team values acting with integrity, being humble but bold, and keeping it weird. We're also committed to promoting diversity and inclusion within our team and the larger VC industry. If you enjoy teamwork and are looking to make an impact, we look forward to hearing from you. This role is based in the San Francisco Bay Area (we have offices in both San Francisco and Los Altos, CA), but remote work within other U.S. cities is possible. Responsibilities Working directly with startup teams to understand their needs and prioritize how we can best support them. Assisting with ongoing development of products and services to help portfolio companies. Hosting kick-off meetings and recurring check-in meetings with portfolio company executives. Creating opportunities for portfolio companies to engage with Toyota and Toyota Group companies. Facilitating introductions to mentors, customers, partners, suppliers, and others as needed. Tracking portfolio company KPIs and reporting on progress towards strategic goals. Documenting best practices and creating resource libraries. Qualifications 5-7+ years of experience in business development, client management, corporate development, or a similar role. Bachelor's degree in a relevant field or equivalent. Proven ability to collaborate across teams/organizations to deliver on shared objectives. Excellent verbal and written communication skills. Self-starter who works well independently but enjoys being part of a team. Exceptional organization and project management skills. Previous experience working in the VC industry or at a startup is a plus. Passionate about emerging technologies and working with entrepreneurs. Ability to travel periodically. The pay range for this position at commencement of employment is expected to be between $140,000 and $190,000/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. #J-18808-Ljbffr

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 advancing the state of the art in AI, robotics, driving, and material sciences. The TeamThe Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve the performance of downstream tasks. This paradigm targets training scalability, since data from multiple modalities can be equally leveraged to learn useful data-driven priors (3D geometry, physics, dynamics, etc) for world understanding. Our topics of interest include, but are not limited to, Video Generation, World Models, 4D Reconstruction, Multi-Modal Models, Multi-View Geometry, Data Augmentation, and Video-Language-Action models, with a primary focus on embodied applications. We are aiming to make progress on some of the hardest scientific challenges around spatio-temporal reasoning, and how it can lead to the deployment of autonomous agents in real-world unstructured environments. The PostdocThis year-long postdoctoral research position will be highly integrated into our team, with hands in both ongoing and new research and development threads in the areas of: 4D World ModelsPhysical and Embodied IntelligenceMulti-Modal Learning This researcher will have the opportunity to work collaboratively with our team at TRI on high-risk, high-reward projects, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems. We welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility. We work closely with other Toyota affiliates and actively collaborate towards research publications and the productization of our developed technologies.Responsibilities Develop, integrate, and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications. Handle the ingestion of large-scale datasets for training, including streaming, online, and continual learning. Invent and deploy innovative solutions at the intersection of machine learning, computer vision, and robotics that improve the real-world performance of useful tasks. Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs. Follow best practices producing maintainable code, both for internal use as well as for open-sourcing to the scientific community. Qualifications Ph.D. in a relevant technical field. A strong background in computer vision and its applications to robotics and embodied systems. A standout colleague with strong communication skills, and an ability to learn from others and contribute back to the scientific community with publications or open source code. Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, human-robot collaboration, and physical assistance innovation. Bonus Qualifications Spatio-temporal (4D) computer vision, including multi-view geometry, 3D/4D reconstruction, video generation, self-supervised learning, occlusion reasoning, etc. Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc. Application of machine learning and computer vision to embodied applications. The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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.

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 advancing the state of the art in AI, robotics, driving, and material sciences. This internship opportunity is a paid 12-week internship for Summer 2026. Please note that this internship will be a hybrid in-office role. The Mission Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI. The Team In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence. The Internship As a Research Intern, you will work on a project focused on improving driving safety and performance using the driver's behavioral, cognitive, and emotional states. There will be opportunities to design and run experiments in our driving motion simulator to study how different driver traits and states lead to unsafe driving behaviors, and how human-machine interfaces can be used to improve the driving experience. An ideal candidate should have experience running experiments with human subjects and should be pursuing a Ph.D. in Computer Science, Human-Computer Interaction, Cognitive Science, Psychology, Human Factors Engineering, or related fields. Experience with machine learning, measuring physiological signals (e.g., EDA, heart rate), and eye-tracking is a plus. You will work with a strong team of researchers, and the expected outcome is to have a publication at a human-computer interaction or cognitive science journal/conference. Responsibilities * Conduct user studies to evaluate the effectiveness and responses to different interventions to improve driving safety and performance. * Create novel interventions that can be used to help people drive better and safer. * Partner with a multidisciplinary team including other research scientists and engineers across Toyota Research Institute. * Present results in verbal and written communications, both internally and at top international venues. Qualifications * Currently pursuing a Ph.D. in Computer Science, Human-Computer Interaction, Cognitive Science, Psychology, Human Factors Engineering, or related fields. * Experience designing and running experiments with human subjects. * Past cross-functional collaboration with other researchers and engineers to invent and develop interesting research ideas. * You are passionate about developing and applying human-centered artificial intelligence for social good. * You are a reliable team player. You like to think big and go deeper. You care about openness and delivering with integrity. * Experience with machine learning is a plus. * Experience with devices to measure physiological signals is a plus (e.g., EDA, heart rate).Experience with eye-tracking devices is a plus. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered may vary depending on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package including vacation and sick time. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. This is a Summer 2026 paid 13-week internship opportunity. Please note that this internship will be a hybrid in-office role. Human-Centered AI This internship opportunity falls within the Human-Centered AI Division (HCAI). We are an integrated team of ML researchers, behavior scientists, and human-computer interaction experts. At the core of our work, we aim to support people to make better decisions by using the best of big data, technology, and insights about why we do what we do. The Team The Future Product Innovation team is an interdisciplinary team of researchers working at the intersection of generative artificial intelligence (AI), design, engineering, and creativity. We use advances in cognitive modeling, physiological sensing, HCI, and machine learning to support human decision making. Our mission is to accelerate design and engineering processes in the automotive industry. The Internship We are seeking a highly motivated and talented PhD research intern to join our Future Product Innovation team and push the envelope on what is possible with Generative AI technologies in the domain of automotive product design. The ideal candidate will have a strong background in CAD Generation and Machine Learning or related fields, with demonstrated interest in design and generative AI. In this project, the intern will develop 3D shape generation techniques with applications to CAD such as point cloud to CAD and image to CAD. We will match the intern with mentors based on their experience. Over the course of the project, in addition to Future Product Innovation group meetings, the intern will also participate in all Human-Centered AI division meetings and meetings with stakeholders from relevant Toyota business groups. The intern will be exposed to how interdisciplinary industrial research works and learn from our team as well as the other interns in our division. Furthermore, the intern will engage in strategy discussions about how their research connects to business impact at Toyota. Responsibilities * In collaboration with your mentor and the other researchers in the department, you will scope the project to align to the core research efforts. * Be the primary driver of the technical plan (e.g., model development, analysis plan) with regular feedback from mentors. * Execute the project using TRI resources. * Present the project's approach and findings in research meetings. Qualifications * Currently enrolled in a PhD program in Computer Science, Machine Learning (or related fields). * Experience working with CAD data such as B-rep and step-file Experience working with relevant libraries such as pythonocc-core, Shapely, TriMesh, Blender. * Experience with deep generative models for CAD generation applications. * Track record of executing research projects including publications at top venues including but not limited to CVPR, ICCV, TOG, SIGGRAPH, NeurIPS. * Desire to work on challenging open-ended research projects. * Demonstrated ability to work autonomously while soliciting feedback. * Excellent communication and teamwork skills. Bonus Qualifications * Experience with developing research software prototypes. * Experience adapting pre-trained models to specific tasks or domains through fine-tuning or similar techniques. * Experience with working with CAD development tools. Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered may vary depending on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package including vacation and sick time. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. The Mission The Energy and Materials Division at TRI is building tools and creating strategies, from accelerating the design, discovery, and deployment of new materials to performing interdisciplinary systems analysis to help foster a transition to more sustainable mobility. Our research applies AI, data-driven methods, and automation to materials science and device engineering, along with stakeholder-informed systems modeling. The Team The Carbon Neutral Strategy Program operates at the intersection of technology, business, and policy, using tools like energy systems modeling and ML to inform decarbonization strategy development across Toyota. Our projects often involve collaboration with scientists from universities and national labs. Interns will be involved in industrial research on topics of broader interest to the general materials science and clean energy community, and several previous intern projects have resulted in peer-reviewed publications in journals such as npj Computational Materials and Chemical Science and presentations to internal Toyota leadership to support strategic decision-making. The Opportunity We are looking for an intern researcher to contribute to our energy systems research program. Together, we will scope and develop in-house analytical tools to inform how different policy mechanisms, behavioral assumptions, and technology pathways could influence the pace of vehicle turnover and the future vehicle powertrain mix. We welcome you to join a unique team of scientists and engineers where you will constantly learn new skills at the interface of energy and AI. Responsibilities * Incorporating human behavior heuristics into models. * Evaluating alternative policy and program designs. * Quantifying the total cost of ownership for different vehicle types under a range or assumptions. * Applying machine learning methods to understand parameters that help achieve desired system outcomes. Qualifications * Currently enrolled in a masters or a doctoral program in STEM subjects (e.g. materials science, chemistry, chemical engineering, mechanical engineering, computer science, systems engineering, public policy, energy economics, or a related discipline with an emphasis on computational research). * Experience in Python. * Experience with ML (e.g. supervised learning, unsupervised learning, reinforcement-style decision models). * Comfortable working with scientific computing and ML frameworks such as SciPy, PyTorch, or Tensorflow. * Demonstrate interest in decarbonization, technoeconomics, and policy analysis. Bonus Qualifications * Familiarity with GIS. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. The Team The long-term vision of TRI's Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge cutting-edge computational materials modeling, experimental data, artificial intelligence, and automation to significantly accelerate materials research. Our focus is on developing tools and capabilities to enable this acceleration. We collaborate closely with a dozen universities and national labs and colleagues across global Toyota. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community more broadly. The Internship This project aims to develop methodologies for AI agents to interact with scientific workflows, towards the end of improving collaboration with users. This project may include studying and improving agentic capacity to plan, design, and execute complex tasks within scientific and engineering domains. The intern will prove out the practical application of these systems, with the goal of producing and developing adaptable frameworks and advancing our understanding of agentic AI's contribution to scientific exploration and automation. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be an in-office role.Qualifications Currently enrolled in a doctoral program in computer science, applied mathematics, materials science, engineering, physics, chemistry, or a related discipline. Have familiarity with Large Language Models (LLMs) and agentic systems, and optionally fine-tuning LLMs, and Retrieval-Augmented Generation (RAG). Are proficient in computational workflow documentation and artifact generation. Have analytical skills for assessing agent performance, critiquing recorded workflows, and developing transparent evaluation metrics Demonstrated aptitude for applying AI concepts to practical scientific and engineering problems Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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.

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 advancing the state of the art in AI, robotics, driving, and material sciences. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. The Internship This internship will be embedded within a world-class Robotics team with the mission to develop and integrate innovative solutions that enable a robot to perform complex, human-level mobile manipulation tasks, navigate with and among people, and learn and adapt over time. The team emphasizes developing, deploying, and validating systems in real-world environments. The Team The Mobile Manipulation team is focused on heavily leveraging machine learning to marry perception, prediction, and action to produce robust and reactive robot behaviors, bootstrapping from simulation, leveraging large amounts of data, and adapting in real-world scenarios. TRI has the runway, roadmap, and expertise to transition the technology development to a product that impacts the lives of millions of people. Apply to join a fast-moving team that demands high-risk innovation and learning from failures, using rigorous processes to identify key technologies, develop a robust, high-quality system, and quantitatively evaluate performance. As part of the team, you will be surrounded and supported by experts in mobile manipulation at TRI, and be a part of TRI's positive and diverse culture! Responsibilities * Develop and integrate VLAs or VAMs (Vision-Action models) linking perception to autonomous robot actions involving complex manipulation and/or navigation. * Invent and deploy innovative solutions combining VLAs with classic optimization-based planners to enhance the robustness of robot behaviors. * Collect, clean, and visualize a variety of data from robot mobile manipulation tasks. * Gain a deeper understanding of the failure modes and bottlenecks in state-of-the-art robot foundation models. Qualifications * Currently pursuing a M.S. or P.h.D. in an engineering-related field. * A strong background in connecting robotic perception with robot actions in the real world. * Experience with Pytorch and developing/training deep neural networks. * Strong software engineering skills, preferably in both Python and C++. * A team player with strong communication skills and a willingness to learn from others. * Passionate about seeing robotics have a real-world, large-scale impact. Bonus Qualifications * Experience scaling learning approaches to large-scale models trained on diverse sources of data, including web-scale text, images, and video. * Deep experience in one of the following areas: VLAs, RL, manipulation, and robot planning. Please include links to any relevant open-source contributions or technical project write-ups with your application. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles, and between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. The Mission We are working to create general-purpose robots capable of accomplishing a wide variety of dexterous tasks. To do this, we're building general-purpose machine learning foundation models for dexterous robot manipulation. These models, which we call Large Behavior Models (LBMs), use generative AI techniques to produce robot action from sensor data and human request. To accomplish this, we are creating a large curriculum of embodied robot demonstration data and combining that data with a rich corpus of internet-scale text, image, and video data. We are also utilizing high-quality simulation to augment real-world robot data with procedurally generated synthetic demonstrations. The Team The Robotics Machine Learning Team's charter is to push the frontiers of research in robotics and machine learning to develop the future capabilities required for general-purpose robots able to operate in unstructured environments such as homes or factories. The Job We have several research thrusts under our broad mission, and we are looking for a research scientist in any of these areas: * Data-efficient and general algorithms for learning robust policies using multiple sensing modalities: proprioception, images, 3D representations, force, and dense tactile sensing. * Scaling learning approaches to large-scale models trained on diverse sources of data, including web-scale text, images, and video. * Leveraging test time computation for embodied applications. * Quick and efficient improvement of learned policies. * Continual Learning and Adaption * Multi-Modal Reasoning Models. * Structured hierarchical reasoning using learned models. * Reinforcement Learning with Language Action Models * Leveraging history and memory for learning policies for long context tasks. * Improving robustness and few-shot generalization by using sub-optimal and self-play data. * Interactive agents that can reduce the embodied and instructional ambiguity and can seek help and clarification. The researcher who joins will be encouraged to collaborate in our code infrastructure, work together with team members, run experiments with both simulated and real (physical) robots, and participate in publishing work to peer-reviewed venues and open-sourcing code. We're looking for a research scientist who is comfortable working with both existing large static datasets as well as a growing dynamic corpus of robot data. Qualifications * Hands-on experience with using machine learning for learned control, including RL, offline RL or behavior cloning, for manipulation. Or experience with machine learning and familiarity with large multi-modal datasets and models. * Strong software development skills in Python. * A "make it happen" demeanour and comfort with fast prototyping. * A passion for robotics and doing research grounded in important fundamental problems. * A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, …) Bonus Qualifications * Hardware experience * A track record of relevant open-source software contributions * Experience working with large-scale datasets and multi-node training The pay range for this position at commencement of employment is expected to be between $176,000 and $264,000/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role. Our driving simulator is physically located there and the intern is expected to test and deploy software on the platform, as well as collaborate with other researchers. The Team The Human Interactive Driving (HID) Research group is focused on designing the future of advanced safety systems, pushing the envelope of safety, driver experience, and automation. Our team consists of cognitive scientists, computer scientists, software engineers, mechanical and electrical engineers, vehicle dynamics experts, designers, and more. We leverage multiple simulation and physical platforms to explore novel interfaces, algorithms, and safety technologies. Our group is developing next-generation training and assessment tools for performance driving and beyond. We are looking into expanding our driving simulation technology by generating novel driving courses, including layout and other features, based on individual drivers' skill levels, past performance, and long-horizon strategy development. These tracks may also be used to train autonomous and shared autonomy artificial agents The Internship We are looking for a 2026 summer research intern in our Los Altos HQ to work on this effort, with an aim of approaching this as a research challenge for combining generative AI and human-factors research. This intern will be expected to work hands-on with a physical simulation system, create working code prototypes, interact frequently with team members, transfer code, design validation experiments, and participate in writing a paper describing the findings, as well as publishing the work. Responsibilities * Procedural track generation using generative AI, involving the design and implementation of new or extended generative methods to create novel driving environments. * Dynamic content creation for our CARLA-based driving simulator, integrating AI-driven or algorithmic content into interactive simulation systems such as CARLA, Unreal, or similar platforms. * Driver skill assessment, contributing to the development and validation of models that characterize driver behavior, measure performance, and support human-centered evaluation. Qualifications * Currently at-least second year pursuing a Ph.D. in Computer Science, Robotics, Human-Robot Interaction, or related fields. * Experience in generative AI, whether LLMs with non-language tokens or diffusion models. * Game development experience: Unreal, Unity, Godot, etc. and/or simulation development experience: CARLA, Sumo, Gazebo, AirSim, etc. * Strong software engineering skills (C++/Python preferred) and analysis/debugging robotic systems. * Experience working in a shared codebase with multiple collaborators and reviewing others' code. * Strong written and oral communication skills. * Experience in working in multi-disciplinary teams. You will be working cross-functionally with UX/UI designers, human-factors researchers, and cognitive scientists. * Must have a high level of self-initiative to prioritize and manage workload and meet project deadlines in a dynamic environment. Bonus Qualifications * Prior experience in ROS / ROS2. * Prior experience with human subjects or human-centric research. * Prior experience in scientific Python, R, or similar statistical analysis tools. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles, and between $40 and $58/hour for Massachusetts-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 advancing the state of the art in AI, robotics, driving, and material sciences. The Team The long-term vision of TRI's Accelerated Materials Design and Discovery (AMDD) program is to accelerate the development of truly emissions-free mobility. Realizing this vision will require the discovery of new materials and devices for batteries, fuel cells, and more. Our aim at TRI is to merge sophisticated computational materials modeling, new experimental data, artificial intelligence, and automation to significantly accelerate materials research in this area. Our focus is on developing tools and capabilities to enable this acceleration. We collaborate closely with a dozen universities and national labs and our colleagues across global Toyota. AMDD seeks to develop and translate the newest technologies into practice, both within Toyota and the open research community, more broadly. The Internship We are looking for an intern researcher to contribute to the development of our physics-based water electrolyzer model. Together, we will develop materials-informed water electrolyzer models that provide insight into the design and testing of zero-gap electrolyzers, or related devices. Your day-to-day may include: data analytics for electrolyzers or half-cell data; mass transport, kinetic, and thermodynamic modeling; and/or structural causal model development. We welcome you to join a unique team of scientists and engineers where you will constantly learn new skills at the interface of materials science and AI. This is a Summer 2026 paid 12-week internship opportunity. Please note that this internship will be an in-office role. Responsibilities * Research the latest advancements in the modeling of electrolyzers and related phenomena. * Work with cross-functional teams of internal and external research collaborators across electrochemistry and ML/AI. * Assist with building tools and capabilities that bridge physics-based modeling, experimental data, machine learning, and/or simulation. * Act with humility, respect, and a collaborative spirit. Qualifications * Are currently enrolled in a doctoral program in STEM subjects (chemistry, chemical engineering, materials science, electrical engineering, mechanical engineering, or a related discipline). * Hands-on experimental experience with zero-gap water electrolyzers. * Experience with standard material characterization techniques (x-ray diffraction, scanning electron microscopy, etc.). * Published manuscripts in the electrolysis field. Bonus Qualifications * Proficiency in Python Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. TRI offers a generous benefits package including medical, dental, and vision insurance, and paid time off benefits (including holiday pay and sick time). Additional details regarding 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.