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Manufacturing & Electronics

Toyota Motor Corporation 

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You must be pursuing a Ph.D. in ML/Robotics, have high-impact publications, coding skills (Python, Unix), and experience with large-scale models. Collaboration and passion for physical systems are essential.

You will advance large-scale robot model training, implement machine-learning pipelines, present research findings, and collaborate with scientists and partner universities on pioneering projects.

Data

Research & Development

Los Altos

<div><div><div>At Toyota Research Institute (TRI), we&rsquo;re on a mission to improve the quality of human life. We&rsquo;re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we&rsquo;ve built a world-class team in Energy &amp; Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.</div><div></div><div><br>
This is a summer 2025 paid 12-week internship opportunity. Please note that this internship will be a hybrid in-office role.</div><div></div><div><b><br>
The Mission</b></div><div>
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 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 training large multimodal models from a combination of internet-scale text, image, and video data, as well as a curriculum of embodied robot demonstration data.</div><div></div><div><b><br>
The Team</b></div><div>
The Pretraining team focuses on training foundation models that can effectively bridge visual, language, and robotic domains. We combine large-scale model training with empirical validation in simulation and on physical robots, emphasizing both fundamental research advances and practical capabilities. Our work spans computer vision, multimodal learning, and robotic control, with particular focus on scaling up model architectures, training data, and training approaches that generalize effectively to various downstream tasks.</div><div></div><div><b><br>
The Internship</b></div><div>
As a Research Scientist Intern, you will conduct research in robot foundation model pretraining alongside our core technical team. You'll work on developing and implementing large-scale multimodal models that bridge visual, language, and robotic domains and validate them on our simulated and physical robot fleet.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Advance the state of the art in training large-scale robot foundation models, and validate the impact of that research on real-world benchmarks and robots.</li><li>
Work as part of a dynamic, closely-knit research team.</li><li>
Implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.</li><li>
Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.</li><li>
Collaborate with internal research scientists, our engineering team, and our partner labs at top academic research universities including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><ul><li><ul><li>
Currently pursuing a Ph.D. in Machine Learning, Robotics, or related fields.</li><li>
Publications at high-impact conferences/journals (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, CVPR, CoRL, RSS, etc.) on some of the aforementioned topics.</li><li>
Passionate about large-scale challenges in ML grounded in physical systems, especially in the space of robotics.</li><li>
Proficiency with one or more coding languages and systems, preferably Python, Unix, and a Deep Learning framework (e.g., PyTorch).</li><li>
Ability to work in collaboration with other researchers and engineers to invent and develop interesting research ideas.</li><li>
Experience training large-scale foundation models (VLMs, text-to-video models, etc) is desirable.</li></ul></li></ul></div></div>
<div><div><i>The pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</i></div><div></div><div><br>
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.</div><div></div><div><br>
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&rsquo;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.</div><div></div><div><br>
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.</div></div></div>

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.
This is a summer 2025 paid 12-week internship opportunity. Please note that this internship will be a hybrid 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 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 training large multimodal models from a combination of internet-scale text, image, and video data, as well as a curriculum of embodied robot demonstration data.
The Team
The Pretraining team focuses on training foundation models that can effectively bridge visual, language, and robotic domains. We combine large-scale model training with empirical validation in simulation and on physical robots, emphasizing both fundamental research advances and practical capabilities. Our work spans computer vision, multimodal learning, and robotic control, with particular focus on scaling up model architectures, training data, and training approaches that generalize effectively to various downstream tasks.
The Internship
As a Research Scientist Intern, you will conduct research in robot foundation model pretraining alongside our core technical team. You'll work on developing and implementing large-scale multimodal models that bridge visual, language, and robotic domains and validate them on our simulated and physical robot fleet.
Responsibilities
Advance the state of the art in training large-scale robot foundation models, and validate the impact of that research on real-world benchmarks and robots.
Work as part of a dynamic, closely-knit research team.
Implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
Present results in verbal and written communications at international conferences, internally, and via open-source contributions to the community.
Collaborate with internal research scientists, our engineering team, and our partner labs at top academic research universities including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale.
Qualifications
Currently pursuing a Ph.D. in Machine Learning, Robotics, or related fields.
Publications at high-impact conferences/journals (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, CVPR, CoRL, RSS, etc.) on some of the aforementioned topics.
Passionate about large-scale challenges in ML 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 work in collaboration with other researchers and engineers to invent and develop interesting research ideas.
Experience training large-scale foundation models (VLMs, text-to-video models, etc) is desirable.
The pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 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.

Multimodal Learning Intern - Large Behavior Models, Pretraining - Toyota Motor Corporation 

Multimodal Learning Intern - Large Behavior Models, Pretraining

You must be enrolled in a Master's or PhD in STEM, have ML experience, know SciPy/PyTorch/TensorFlow, show interest in decarbonization, and provide a Google Scholar link with publications.

You will develop technoeconomic models for technology and business strategies, focusing on materials usage, EV infrastructure, and decarbonization technologies while considering human behavior and equity.

<div><div><div>At Toyota Research Institute (TRI), we&rsquo;re on a mission to improve the quality of human life. We&rsquo;re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we&rsquo;ve built a world-class team in Energy &amp; Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.</div><div></div><div><br>
This is a summer 2025 paid 12-week internship opportunity in Los Altos, HQ. Please note that this internship will be an in-office hybrid role.</div><div></div><div><b><br>
Energy &amp; Materials</b></div><div></div><div><br>
The Energy &amp; 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.<br>
</div><div></div><br>
<div><b>The Team</b></div><div></div><div><br>
The Carbon Neutral Strategy Program operates at the intersection of technology, business, and policy, using tools like energy systems modeling 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 presentation to internal Toyota leadership to support strategic decision-making.</div><div></div><div><b><br>
The Internship</b></div><div></div><div><br>
We are looking for an intern researcher to contribute to our energy systems research program. Together, we will scope and develop technoeconomic systems analysis frameworks to inform technology and business development surrounding topics like predicted policy compliance requirements around materials usage or forecasting placement of electric vehicle charging infrastructure. These models may involve incorporating human behavior heuristics, material supply chain limitations and circularity, prioritizing disadvantaged communities in the energy transition, or multiple critical decarbonization technologies, including EV charging and hydrogen refueling infrastructure, biofuels and synthetic fuels, plug-in hybrids, etc. 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.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Qualifications</b></h3><ul><li><ul><li>
Currently enrolled in a Masters or a PhD 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)</li><li>
Experience with ML: supervised learning: neural networks (e.g. classification, LSTM), Unsupervised: Clustering (e.g. k-means, hierarchical), and/or reinforcement (e.g. Markov decision process, discrete choice model)</li><li>
Experience with platforms like SciPy, PyTorch, Tensorflow; GIS is a bonus</li><li>
Demonstrated interest in decarbonization, technoeconomics, and policy</li></ul></li></ul></div></div>
<div><div><b>Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.</b></div><div></div><div><i><br>
The pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</i></div><div></div><div><br>
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.</div><div></div><div><br>
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&rsquo;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.</div><div></div><div><br>
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.</div></div></div>

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.
This is a summer 2025 paid 12-week internship opportunity in Los Altos, HQ. Please note that this internship will be an in-office hybrid role.
Energy & Materials
The Energy & 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 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 presentation to internal Toyota leadership to support strategic decision-making.
The Internship
We are looking for an intern researcher to contribute to our energy systems research program. Together, we will scope and develop technoeconomic systems analysis frameworks to inform technology and business development surrounding topics like predicted policy compliance requirements around materials usage or forecasting placement of electric vehicle charging infrastructure. These models may involve incorporating human behavior heuristics, material supply chain limitations and circularity, prioritizing disadvantaged communities in the energy transition, or multiple critical decarbonization technologies, including EV charging and hydrogen refueling infrastructure, biofuels and synthetic fuels, plug-in hybrids, etc. 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.
Qualifications
Currently enrolled in a Masters or a PhD 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 with ML: supervised learning: neural networks (e.g. classification, LSTM), Unsupervised: Clustering (e.g. k-means, hierarchical), and/or reinforcement (e.g. Markov decision process, discrete choice model)
Experience with platforms like SciPy, PyTorch, Tensorflow; GIS is a bonus
Demonstrated interest in decarbonization, technoeconomics, and policy
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; 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 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.

Energy & Materials Research Intern, Carbon Neutral Strategy - Toyota Motor Corporation 

<div>
 <div>
  <div>
   At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy &amp; Materials, Human-Centered AI, Human Interactive Driving, Large Behavioral Models, and Robotics.
  </div>
  <div></div>
  <div>
   <br> This is a summer 2025 paid 12-week internship opportunity in Los Altos, HQ. Please note that this internship will be an in-office hybrid role.
  </div>
  <div></div>
  <div>
   <b><br> Energy &amp; Materials</b>
  </div>
  <div></div>
  <div>
   <br> The Energy &amp; 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.<br>
  </div>
  <div></div><br>
  <div>
   <b>The Team</b>
  </div>
  <div></div>
  <div>
   <br> The Carbon Neutral Strategy Program operates at the intersection of technology, business, and policy, using tools like energy systems modeling 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 presentation to internal Toyota leadership to support strategic decision-making.
  </div>
  <div></div>
  <div>
   <b><br> The Internship</b>
  </div>
  <div></div>
  <div>
   <br> We are looking for an intern researcher to contribute to our energy systems research program. Together, we will scope and develop technoeconomic systems analysis frameworks to inform technology and business development surrounding topics like predicted policy compliance requirements around materials usage or forecasting placement of electric vehicle charging infrastructure. These models may involve incorporating human behavior heuristics, material supply chain limitations and circularity, prioritizing disadvantaged communities in the energy transition, or multiple critical decarbonization technologies, including EV charging and hydrogen refueling infrastructure, biofuels and synthetic fuels, plug-in hybrids, etc. 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.
  </div>
 </div>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Qualifications</b></h3>
   <ul>
    <li>
     <ul>
      <li>Currently enrolled in a Masters or a PhD 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)</li>
      <li>Experience with ML: supervised learning: neural networks (e.g. classification, LSTM), Unsupervised: Clustering (e.g. k-means, hierarchical), and/or reinforcement (e.g. Markov decision process, discrete choice model)</li>
      <li>Experience with platforms like SciPy, PyTorch, Tensorflow; GIS is a bonus</li>
      <li>Demonstrated interest in decarbonization, technoeconomics, and policy</li>
     </ul></li>
   </ul>
  </div>
 </div>
 <div>
  <div>
   <b>Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.</b>
  </div>
  <div></div>
  <div>
   <i><br> The pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</i>
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
 </div>
</div>

Toyota Research Institute

Energy & Materials Research Intern, Carbon Neutral Strategy

You should be an engineering student with rapid prototyping experience, CAD proficiency, safety mindset, assembly skills, and familiarity with software development processes.

You will maintain the lab, support project operations, collaborate on events, model components in Onshape, iterate prototypes, and document designs for transparency and replication.

Engineering

<div>
 <div>
  <div>
   At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy &amp; Materials, Human-Centered AI, Human Interactive Driving, and Robotics.
  </div>
  <div></div>
  <div>
   <br> This is a summer 2025 paid 12-week internship opportunity. Please note that this internship will be an in-office role.
  </div>
  <div></div>
  <div>
   <b><br> The Team</b>
  </div>
  <div></div>
  <div>
   <br> The Prototyping and Research Operations (PROps) team supports and operationalizes TRI’s robotics research to succeed at scale in laboratory and deployment environments. We work across engineering and operations disciplines to develop robot hardware and testing setups, as well as operate and deploy robotic research systems to collect data for researchers. Our team administers the two prototyping laboratories within TRI and uses those facilities to prototype research hardware.
  </div>
  <div></div>
  <div>
   <b><br> The Internship</b>
  </div>
  <div></div>
  <div>
   <br> The intern who joins our team will have the opportunity to contribute to the work of our various research support projects and the daily tasks that keep our researchers productive and will focus on three areas:
  </div>
  <ul>
   <li>Maintaining and improving the lab: This will include working with the lab manager on organizational tasks, fulfilling fabrication requests, maintaining and fixing the manufacturing equipment and robot systems, and improving lab workflow and tooling, allowing for more efficient use of the lab space.</li>
   <li>Supporting our operations projects: This will require our intern to collaborate with Research Operations Engineers to design and coordinate events, improve data collection processes, and maintain testing and deployment documentation to support the research and engineering teams.</li>
   <li>A design project that will consist of modeling components in Onshape, running a design review, manufacturing and iterating prototypes in the lab, sending the final design to a vendor for fabrication, delivering a final assembly, and documenting the project so the design cycle is transparent and the design can be replicated.</li>
  </ul>
 </div><br>
 <div></div>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b> Qualifications</b></h3>
   <ul>
    <li>
     <ul>
      <li>Engineering student (undergrad junior or senior or a master’s student).</li>
      <li>A drive to learn new skills and become adept at new systems, processes, and tools.</li>
      <li>Experience with rapid prototyping tools (3D printers, laser cutters, hand tools, etc.. ) and time spent in a lab environment designing, prototyping, and manufacturing components and assemblies.</li>
      <li>Experience in creative and novel mechanical design work and employing rapid prototyping techniques to improve your iterative design process.</li>
      <li>Familiarity with CAD and the ability to use it as a central component of the design cycle.</li>
      <li>A safety-first mentality.</li>
      <li>Experience executing and summarizing system tests and results.</li>
      <li>Demonstrable communication skills, written and verbal, including utilization of design documents and systems drawings.</li>
     </ul></li>
   </ul>
  </div>
 </div>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Bonus Qualifications</b></h3>
   <ul>
    <li>
     <ul>
      <li>Electronic assembly skills like crimping, soldering, and wire routing.</li>
      <li>Basic machining skills on a lathe or mill.</li>
      <li>Experience designing for small-scale contract manufacturing and assembly.</li>
      <li>Understand software development processes and the tooling required to enact them, such as version control (e.g., Git) and CI/ CD (e.g., Jenkins).</li>
     </ul></li>
   </ul>
  </div>
 </div>
 <div>
  <div>
   Please add a link to Google Scholar and include a full list of publications when submitting your CV to this position.
  </div>
  <div></div>
  <div>
   <i><br> The pay range for this position at commencement of employment is expected to be between $45 and $65/hour 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 vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</i>
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
  <div></div>
  <div>
   <br> Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
  </div>
 </div>
</div>


 
  
   At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.
  
  
  
    This is a summer 2025 paid 12-week internship opportunity. Please note that this internship will be an in-office role.
  
  
  
    The Team
  
  
  
    The Prototyping and Research Operations (PROps) team supports and operationalizes TRI’s robotics research to succeed at scale in laboratory and deployment environments. We work across engineering and operations disciplines to develop robot hardware and testing setups, as well as operate and deploy robotic research systems to collect data for researchers. Our team administers the two prototyping laboratories within TRI and uses those facilities to prototype research hardware.
  
  
  
    The Internship
  
  
  
    The intern who joins our team will have the opportunity to contribute to the work of our various research support projects and the daily tasks that keep our researchers productive and will focus on three areas:
  
  
   Maintaining and improving the lab: This will include working with the lab manager on organizational tasks, fulfilling fabrication requests, maintaining and fixing the manufacturing equipment and robot systems, and improving lab workflow and tooling, allowing for more efficient use of the lab space.
   Supporting our operations projects: This will require our intern to collaborate with Research Operations Engineers to design and coordinate events, improve data collection processes, and maintain testing and deployment documentation to support the research and engineering teams.
   A design project that will consist of modeling components in Onshape, running a design review, manufacturing and iterating prototypes in the lab, sending the final design to a vendor for fabrication, delivering a final assembly, and documenting the project so the design cycle is transparent and the design can be replicated.
  
 
 
 
  
    Qualifications
   
    
     
      Engineering student (undergrad junior or senior or a master’s student).
      A drive to learn new skills and become adept at new systems, processes, and tools.
      Experience with rapid prototyping tools (3D printers, laser cutters, hand tools, etc.. ) and time spent in a lab environment designing, prototyping, and manufacturing components and assemblies.
      Experience in creative and novel mechanical design work and employing rapid prototyping techniques to improve your iterative design process.
      Familiarity with CAD and the ability to use it as a central component of the design cycle.
      A safety-first mentality.
      Experience executing and summarizing system tests and results.
      Demonstrable communication skills, written and verbal, including utilization of design documents and systems drawings.
     
   
  
 
 
  
   Bonus Qualifications
   
    
     
      Electronic assembly skills like crimping, soldering, and wire routing.
      Basic machining skills on a lathe or mill.
      Experience designing for small-scale contract manufacturing and assembly.
      Understand software development processes and the tooling required to enact them, such as version control (e.g., Git) and CI/ CD (e.g., Jenkins).
     
   
  
 
 
  
   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; 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 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.
  
  
  
    Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
  
 


Robotics Intern - Prototyping and Research Operations - Toyota Motor Corporation 

Robotics Intern - Prototyping and Research Operations

You need strong HR experience, team leadership, knowledge of compensation, LOA, recruiting, labor laws, and proficient in Microsoft apps. Bachelor's degree or equivalent, PHR/SPHR preferred.

You will lead HR teams, partner with managers, utilize workforce analytics, implement HR programs, collaborate with Talent Acquisition, resolve team concerns, and manage ad hoc projects.

Customer Relations

People, HR & Administration

Plano

<div>
 <h1 class="jobSectionHeader"><b>Overview</b></h1>
 <p></p>
 <h2 class="jobSectionHeader"><b> Who we are</b></h2>
 <p></p>
 <p>Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.</p>
 <p></p>
 <p><i> To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.</i></p>
 <p></p>
 <p><b> Who we’re looking for</b></p>
 <p>Toyota’s Human Resources Department is looking for a passionate and highly motivated <b>Human Resources Business Advisor.</b></p>
 <p></p>
 <p>Reporting to the Senior Manager, Human Resources Business Advisor, the person in this role will support the Toyota Financial Services (TFS) three Customer Experience Centers, overseeing call center operations employees, located in Plano, TX, Alpharetta, GA, and Chandler, AZ. This role requires the ability to integrate macro level HR-related priorities, strategies, and goals, with the Experience Center specific initiatives and programs. This role has five direct reports across those sites.</p>
 <p></p>
 <p>This position is based at our North American headquarters in Plano, Texas. The selected candidate will be expected to reside within commutable distance of this location.</p>
 <p></p>
 <p><b> What you’ll be doing </b></p>
 <ul>
  <li><p>Lead a team of HR Generalists and HR Specialists located across the three Experience Center sites, supporting call center employee populations.</p></li>
  <li><p>Have/develop a strong understanding of the TFS Experience Center business operating model, and the specific needs of the Centers, applying this knowledge to create effective partnerships with managers/leaders and integrate short- and long-term needs of the Center operations with HR/talent-related solutions.</p></li>
  <li><p>Develop and nurture strong and productive partnerships with a diverse group of senior managers and executives as well as with other groups within HR.</p></li>
  <li><p>Use Workforce Planning &amp; Analytics (WP&amp;A) tools (e.g., segmentation framework, headcount plans, etc.) to assist assigned business unit in making workforce-related decisions. Help business managers/leaders understand and build workforce plans, including identifying current state, future state, and gaps.</p></li>
  <li><p>Lead the education, implementation and follow-through of all existing HR programs, including but not limited to: Performance Management (Driving Performance) and corrective action, Pay for Performance (compensation programs such as merit, growth, bonus, discretionary awards), learning/development programs, as well as talent/succession planning.</p></li>
  <li><p>Partner closely with Talent Acquisition to effectively and efficiently staff open positions.</p></li>
  <li><p>Provide advice and counsel along with Team Member Relations team to resolve team member concerns. Also partner with the leaves and disability management team on LOA cases.</p></li>
  <li><p>Ad hoc projects as assigned such as process improvement, etc.</p></li>
 </ul>
 <p></p>
 <p><b> What you bring </b></p>
 <ul>
  <li><p>Strong experience with large business unit support in an HR Business Advisor or HR Generalist/Analyst role.</p></li>
  <li><p>HR department project work, especially in a leadership role.</p></li>
  <li><p>Proven experience leading/managing a team (preferably managing direct reports).</p></li>
  <li><p>Knowledge and understanding of compensation programs, LOA administration, and recruiting processes.</p></li>
  <li><p>Knowledge and understanding of applicable employment/labor laws.</p></li>
  <li><p>Proficient in Microsoft applications (Excel, PowerPoint, Word, Outlook).</p></li>
  <li><p>Bachelor’s degree or higher, or equivalent professional work experience relevant to this position.</p></li>
 </ul>
 <p></p>
 <p><b> Added bonus if you have </b></p>
 <ul>
  <li><p>HR experience supporting call center operations highly preferred.</p></li>
  <li><p>PHR/SPHR Certification.</p></li>
 </ul>
 <p></p>
 <p><b> What We’ll Bring</b></p>
 <p>During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:</p>
 <ul>
  <li><p>A work environment built on teamwork, flexibility and respect</p></li>
  <li><p>Professional growth and development programs to help advance your career, as well as tuition reimbursement</p></li>
  <li><p>Team Member Vehicle Purchase Discount</p></li>
  <li><p>Toyota Team Member Lease Vehicle Program (if applicable)</p></li>
  <li><p>Comprehensive health care and wellness plans for your entire family</p></li>
  <li><p>Flextime and virtual work options (if applicable)</p></li>
  <li><p>Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute</p></li>
  <li><p>Paid holidays and paid time off</p></li>
  <li><p>Referral services related to prenatal services, adoption, childcare, schools and more</p></li>
  <li><p>Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)</p></li>
 </ul>
 <p></p>
 <p><b> Belonging at Toyota</b></p>
 <p></p>
 <p>Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business.</p>
 <p></p>
 <p>Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.</p>
 <p></p> Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.
</div>


 Overview
 
  Who we are
 
 Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.
 
  To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
 
  Who we’re looking for
 Toyota’s Human Resources Department is looking for a passionate and highly motivated Human Resources Business Advisor.
 
 Reporting to the Senior Manager, Human Resources Business Advisor, the person in this role will support the Toyota Financial Services (TFS) three Customer Experience Centers, overseeing call center operations employees, located in Plano, TX, Alpharetta, GA, and Chandler, AZ. This role requires the ability to integrate macro level HR-related priorities, strategies, and goals, with the Experience Center specific initiatives and programs. This role has five direct reports across those sites.
 
 This position is based at our North American headquarters in Plano, Texas. The selected candidate will be expected to reside within commutable distance of this location.
 
  What you’ll be doing 
 
  Lead a team of HR Generalists and HR Specialists located across the three Experience Center sites, supporting call center employee populations.
  Have/develop a strong understanding of the TFS Experience Center business operating model, and the specific needs of the Centers, applying this knowledge to create effective partnerships with managers/leaders and integrate short- and long-term needs of the Center operations with HR/talent-related solutions.
  Develop and nurture strong and productive partnerships with a diverse group of senior managers and executives as well as with other groups within HR.
  Use Workforce Planning & Analytics (WP&A) tools (e.g., segmentation framework, headcount plans, etc.) to assist assigned business unit in making workforce-related decisions. Help business managers/leaders understand and build workforce plans, including identifying current state, future state, and gaps.
  Lead the education, implementation and follow-through of all existing HR programs, including but not limited to: Performance Management (Driving Performance) and corrective action, Pay for Performance (compensation programs such as merit, growth, bonus, discretionary awards), learning/development programs, as well as talent/succession planning.
  Partner closely with Talent Acquisition to effectively and efficiently staff open positions.
  Provide advice and counsel along with Team Member Relations team to resolve team member concerns. Also partner with the leaves and disability management team on LOA cases.
  Ad hoc projects as assigned such as process improvement, etc.
 
 
  What you bring 
 
  Strong experience with large business unit support in an HR Business Advisor or HR Generalist/Analyst role.
  HR department project work, especially in a leadership role.
  Proven experience leading/managing a team (preferably managing direct reports).
  Knowledge and understanding of compensation programs, LOA administration, and recruiting processes.
  Knowledge and understanding of applicable employment/labor laws.
  Proficient in Microsoft applications (Excel, PowerPoint, Word, Outlook).
  Bachelor’s degree or higher, or equivalent professional work experience relevant to this position.
 
 
  Added bonus if you have 
 
  HR experience supporting call center operations highly preferred.
  PHR/SPHR Certification.
 
 
  What We’ll Bring
 During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
 
  A work environment built on teamwork, flexibility and respect
  Professional growth and development programs to help advance your career, as well as tuition reimbursement
  Team Member Vehicle Purchase Discount
  Toyota Team Member Lease Vehicle Program (if applicable)
  Comprehensive health care and wellness plans for your entire family
  Flextime and virtual work options (if applicable)
  Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
  Paid holidays and paid time off
  Referral services related to prenatal services, adoption, childcare, schools and more
  Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
 
 
  Belonging at Toyota
 
 Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business.
 
 Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
  Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.


Human Resources Business Advisor - Toyota Motor Corporation 

Toyota

Human Resources Business Advisor

You need a B.S./M.S. in engineering, experience with autonomous robotics behaviors, strong C++ skills, and a passion for impactful robotics. Teamwork and communication skills are essential.

You will develop and deploy algorithms for autonomous robots, create innovative solutions for mobility and manipulation, and engineer robust behaviors using various machine learning techniques.

Software Engineering

<div>
 <div>
  <div>
   At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy &amp; Materials, Human-Centered AI, Human Interactive Driving, and Robotics.
  </div>
  <div></div>
  <div>
   <br> This is a summer 2025 paid 12-week internship opportunity. Please note that this internship will be an in-office role.
  </div>
  <div></div>
  <div>
   <b><br> The Internship</b>
  </div>
  <div>
   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.
  </div>
  <div></div>
  <div>
   <b><br> The Team</b>
  </div>
  <div>
   The Mobile Manipulation team is focused on heavily leveraging machine learning to marry perception, prediction, and action to produce robust, reactive, coordinated robot behaviors, bootstrapping from simulation, leveraging large amounts of data, and adapting in real world scenarios.
  </div>
  <div></div>
  <div>
   <br> 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!
  </div>
 </div>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Responsibilities</b></h3>
   <ul>
    <li>
     <ul>
      <li>Develop, integrate, and deploy algorithms linking perception to autonomous robot actions, including manipulation, navigation, and human-robot interaction.</li>
      <li>Invent and deploy innovative solutions at the intersection of machine learning, mobility, manipulation, human interaction, and simulation for performing useful, human-level tasks in human environments.</li>
      <li>Invent novel ways to engineer and learn robust, real-world behaviors, including using optimization, planning, reactive control, self-supervision, active learning, learning from demonstration, simulation and transfer learning, and real-world adaptation.</li>
     </ul></li>
   </ul>
  </div>
 </div>
 <div>
  <div>
   <h3 class="jobSectionHeader"><b>Qualifications</b></h3>
   <ul>
    <li>
     <ul>
      <li>B.S. or M.S. in an engineering related field.</li>
      <li>Experience with inventing and deploying innovative autonomous behaviors for robotic systems in real-world environments.</li>
      <li>Experience in areas such as reactive control, trajectory optimization, coordinated whole-body control, dexterous manipulation, arm motion planning, grasp planning, navigation, and human interaction.</li>
      <li>Experience in applying machine learning to robotics, including areas such as reinforcement, imitation, and transfer learning.</li>
      <li>Strong software engineering skills, preferably in C++, and analysis and debugging of autonomous robotic systems.</li>
      <li>A team player with strong communication skills and a willingness to learn from others.</li>
      <li>Passionate about seeing robotics have a real-world, large-scale impact.</li>
     </ul></li>
   </ul>
  </div>
 </div>
 <div>
  <div>
   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.
  </div>
  <div></div>
  <div>
   <br> 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.
  </div>
  <div></div>
  <div>
   <br> Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
  </div>
 </div>
</div>


 
  
   At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team in Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.
  
  
  
    This is a summer 2025 paid 12-week internship opportunity. Please note that this internship will be an 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, reactive, coordinated 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, integrate, and deploy algorithms linking perception to autonomous robot actions, including manipulation, navigation, and human-robot interaction.
      Invent and deploy innovative solutions at the intersection of machine learning, mobility, manipulation, human interaction, and simulation for performing useful, human-level tasks in human environments.
      Invent novel ways to engineer and learn robust, real-world behaviors, including using optimization, planning, reactive control, self-supervision, active learning, learning from demonstration, simulation and transfer learning, and real-world adaptation.
     
   
  
 
 
  
   Qualifications
   
    
     
      B.S. or M.S. in an engineering related field.
      Experience with inventing and deploying innovative autonomous behaviors for robotic systems in real-world environments.
      Experience in areas such as reactive control, trajectory optimization, coordinated whole-body control, dexterous manipulation, arm motion planning, grasp planning, navigation, and human interaction.
      Experience in applying machine learning to robotics, including areas such as reinforcement, imitation, and transfer learning.
      Strong software engineering skills, preferably in C++, and analysis and debugging of autonomous robotic systems.
      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.
     
   
  
 
 
  
   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.
  
  
  
    Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
  
 


Toyota Motor Corporation

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