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. TRI's Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict, and enable carbon neutral behavior. We are looking for an AI research scientist with expertise in and enthusiasm for machine learning research (e.g., foundation models, including training and fine-tuning on large, industrial-scale datasets). This researcher would work at the intersection of social science and generative AI, training and fine-tuning models representing human behaviors and cognitive processes, such as changes in beliefs and preferences over time. For an example of our research in this vein, please see here. Responsibilities <ul><ul><li>Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that uses generative AI to understand human behavior and preferences</li><li>Conduct daring research that integrates behavioral science concepts with machine learning methods to push the boundaries of knowledge and the state of the art in Human-Centered AI, including multi-modal models and time-varying language models</li><li>Stay current on the state-of-the-art in Machine Learning theories, practice, and software</li><li>Collaborate with scientists in the Carbon Neutrality Department to shape and craft our research program and to communicate research to Toyota collaborators</li><li>Publish findings in academic journals and/or conferences</li><li>Contribute to technology transfer of research throughout Toyota</li></ul></ul> Qualifications <ul><ul><li>PhD in computer science, machine learning, computational social science, or related field</li><li>3+ years of experience and shown ability in ML research or related projects</li><li>Experience with transformer models (e.g., language, vision), diffusion models, or multimodal models</li><li>Skilled with fine-tuning approaches (e.g., LoRA)</li><li>Experience in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies</li><li>Broad knowledge of machine learning approaches and theory</li><li>Work collaboratively across subject areas and functions</li><li>Top-tier project management skills and desire to work on challenging open-ended research projects</li><li>Proven track record of working autonomously while soliciting feedback</li><li>Strong interpersonal skills and great teammate</li><li>Strong data science skills with proficiency in Python</li><li>Proficiency in other big data languages and tools for cloud environments (e.g. Databricks, SQL, PySpark)</li><li>Heavy interest in research to facilitate carbon neutrality</li><li>Ability to communicate complex concepts clearly across different audiences</li></ul></ul> Bonus Qualifications <ul><ul><li>Experience with time series modeling and data analysis</li><li>Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span several years</li></ul></ul> The pay range for this position at commencement of employment is expected to be between $165,760 and $248,640/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.

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. TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict, and enable carbon neutral behavior. We are looking for an AI research scientist with expertise in and enthusiasm for machine learning research (e.g., foundation models, including training and fine-tuning on large, industrial-scale datasets). This researcher would work at the intersection of social science and generative AI, training and fine-tuning models representing human behaviors and cognitive processes, such as changes in beliefs and preferences over time. For an example of our research in this vein, please see <a >here </a>. Responsibilities <ul><li>Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that uses generative AI to understand human behavior and preferences </li><li>Conduct daring research that integrates behavioral science concepts with machine learning methods to push the boundaries of knowledge and the state of the art in Human-Centered AI, including multi-modal models and time-varying language models </li><li>Stay current on the state-of-the-art in Machine Learning theories, practice, and software </li><li>Collaborate with scientists in the Carbon Neutrality Department to shape and craft our research program and to communicate research to Toyota collaborators </li><li>Publish findings in academic journals and/or conferences </li><li>Contribute to technology transfer of research throughout Toyota </li> </ul>Qualifications <ul><li>PhD in computer science, machine learning, computational social science, or related field </li><li>3+ years of experience and shown ability in ML research or related projects </li><li>Experience with transformer models (e.g., language, vision), diffusion models, or multimodal models </li><li>Skilled with fine-tuning approaches (e.g., LoRA) </li><li>Experience in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies </li><li>Broad knowledge of machine learning approaches and theory </li><li>Work collaboratively across subject areas and functions </li><li>Top-tier project management skills and desire to work on challenging open-ended research projects </li><li>Proven track record of working autonomously while soliciting feedback </li><li>Strong interpersonal skills and great teammate </li><li>Strong data science skills with proficiency in Python </li><li>Proficiency in other big data languages and tools for cloud environments (e.g. Databricks, SQL, PySpark) </li><li>Heavy interest in research to facilitate carbon neutrality </li><li>Ability to communicate complex concepts clearly across different audiences </li> </ul>Bonus Qualifications <ul><li>Experience with time series modeling and data analysis </li><li>Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span several years </li> </ul> The pay range for this position at commencement of employment is expected to be between$165,760and$248,640/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 <a >Candidate Privacy Notice </a>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 in Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.
TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict, and enable carbon neutral behavior.
We are looking for an AI research scientist with expertise in and enthusiasm for machine learning research (e.g., foundation models, including training and fine-tuning on large, industrial-scale datasets). This researcher would work at the intersection of social science and generative AI, training and fine-tuning models representing human behaviors and cognitive processes, such as changes in beliefs and preferences over time. For an example of our research in this vein, please see   here  .
Responsibilities   Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that uses generative AI to understand human behavior and preferences
Conduct daring research that integrates behavioral science concepts with machine learning methods to push the boundaries of knowledge and the state of the art in Human-Centered AI, including multi-modal models and time-varying language models
Stay current on the state-of-the-art in Machine Learning theories, practice, and software
Collaborate with scientists in the Carbon Neutrality Department to shape and craft our research program and to communicate research to Toyota collaborators
Publish findings in academic journals and/or conferences
Contribute to technology transfer of research throughout Toyota
Qualifications   PhD in computer science, machine learning, computational social science, or related field
3+ years of experience and shown ability in ML research or related projects
Experience with transformer models (e.g., language, vision), diffusion models, or multimodal models
Skilled with fine-tuning approaches (e.g., LoRA)
Experience in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies
Broad knowledge of machine learning approaches and theory
Work collaboratively across subject areas and functions
Top-tier project management skills and desire to work on challenging open-ended research projects
Proven track record of working autonomously while soliciting feedback
Strong interpersonal skills and great teammate
Strong data science skills with proficiency in Python
Proficiency in other big data languages and tools for cloud environments (e.g. Databricks, SQL, PySpark)
Heavy interest in research to facilitate carbon neutrality
Ability to communicate complex concepts clearly across different audiences
Bonus Qualifications   Experience with time series modeling and data analysis
Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span several years
The pay range for this position at commencement of employment is expected to be between$165,760and$248,640/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

The team will be 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 the significant core ML, cloud, software, and hardware expertise at TRI, and be a part of TRI's positive and diverse culture. <h3>Responsibilities </h3><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 and around homes. </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><li>Be part of a team that fields systems, performs failure analysis, and iterates on improving performance and capabilities. </li><li>Follow software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review. </li> </ul><h3>Qualifications </h3><ul><li>M.S. or Ph.D. in an engineering-related field. </li><li>A strong track record in inventing and deploying innovative autonomous behaviors for robotic systems in real-world environments. </li><li>Expertise and 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>Expertise and 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 and contribute back to the robotics community with publications or open source code. </li><li>Passionate about seeing robotics have a real-world, large-scale impact. </li> </ul>#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 in Energy & Materials, Human-Centered AI, Human Interactive Driving, and Robotics.TRI’s Carbon Neutrality Department within our Human-Centered AI (HCAI) Division blends behavioral science, human-computer interaction research, and machine learning to understand, predict, and enable carbon neutral behavior.We are looking for an AI research scientist with expertise in and enthusiasm for machine learning research (e.g., foundation models, including training and fine-tuning on large, industrial-scale datasets). This researcher would work at the intersection of social science and generative AI, training and fine-tuning models representing human behaviors and cognitive processes, such as changes in beliefs and preferences over time. For an example of our research in this vein, please see <a href="#">here</a>.Responsibilities<ul><li>Collaborate cross-functionally with specialists in multiple fields, as well as university partners, to research and develop technology that uses generative AI to understand human behavior and preferences</li><li>Conduct daring research that integrates behavioral science concepts with machine learning methods to push the boundaries of knowledge and the state of the art in Human-Centered AI, including multi-modal models and time-varying language models</li><li>Stay current on the state-of-the-art in Machine Learning theories, practice, and software</li><li>Collaborate with scientists in the Carbon Neutrality Department to shape and craft our research program and to communicate research to Toyota collaborators</li><li>Publish findings in academic journals and/or conferences</li><li>Contribute to technology transfer of research throughout Toyota</li></ul>Qualifications<ul><li>PhD in computer science, machine learning, computational social science, or related field</li><li>3+ years of experience and shown ability in ML research or related projects</li><li>Experience with transformer models (e.g., language, vision), diffusion models, or multimodal models</li><li>Skilled with fine-tuning approaches (e.g., LoRA)</li><li>Experience in human-centered research (e.g. behavioral data science, computational social science, human-computer interaction), including qualitative and/or quantitative methods such as experiments and user studies</li><li>Broad knowledge of machine learning approaches and theory</li><li>Work collaboratively across subject areas and functions</li><li>Top-tier project management skills and desire to work on challenging open-ended research projects</li><li>Proven track record of working autonomously while soliciting feedback</li><li>Strong interpersonal skills and great teammate</li><li>Strong data science skills with proficiency in Python</li><li>Proficiency in other big data languages and tools for cloud environments (e.g. Databricks, SQL, PySpark)</li><li>Heavy interest in research to facilitate carbon neutrality</li><li>Ability to communicate complex concepts clearly across different audiences</li></ul>Bonus Qualifications<ul><li>Experience with time series modeling and data analysis</li><li>Ability to balance multiple projects, including short-term, targeted analyses and novel, innovative projects that may span several years</li></ul>The pay range for this position at commencement of employment is expected to be between$165,760and$248,640/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<a href="#">Candidate Privacy Notice</a>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

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Research Scientist Jobs in Los Altos, CA

Ai Research Scientist Human Behavior And Carbon NeutralityDecember 14, 2024

Ai Research Scientist Human Behavior And Carbon NeutralityDecember 11, 2024

Ai Research Scientist Human Behavior And Carbon NeutralityDecember 10, 2024

Research Scientistengineer Mobile Manipulation BehaviorsDecember 9, 2024

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