Platform Robotics Engineer, Large Behavior Models
Los Altos, CA
Toyota Research Institute
The MissionMake general-purpose robots a reality via large-scale embodied AI.
The ChallengeWe envision a future where robots assist with household chores and cooking, aid the elderly in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate reliably in messy, unstructured environments. Our mission is to answer the question “What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?”. To answer this, we are gathering large datasets of physical interaction from a variety of sources (including robots and people) and training large generative foundation models on this physical interaction data along with language, video, audio, and other rich modalities.
The TeamOur goal is to revolutionize the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently instructed, learned, and improved over time in real world environments. Our team has deep cross-functional expertise across simulation, perception, controls, language, vision, multimodal learning, and generative modeling. Success is measured by the advancement of robot capabilities. Our north star is fundamental technological advancement in building robots that can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Come join us and let’s make general-purpose robots a reality.We operate a fleet of robots, and robot-embodied teaching and deployment are key parts of our strategy. Some of our previous work is highlighted here.
The OpportunityWe’re looking for a driven Robotics Engineer who has experience developing and deploying robotic systems.
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.
The ChallengeWe envision a future where robots assist with household chores and cooking, aid the elderly in maintaining their independence, and enable people to spend more time on the activities they enjoy most. To achieve this, robots need to be able to operate reliably in messy, unstructured environments. Our mission is to answer the question “What will it take to create truly general-purpose robots that can accomplish a wide variety of tasks in settings like human homes with minimal human supervision?”. To answer this, we are gathering large datasets of physical interaction from a variety of sources (including robots and people) and training large generative foundation models on this physical interaction data along with language, video, audio, and other rich modalities.
The TeamOur goal is to revolutionize the field of robotic manipulation, enabling long-horizon dexterous behaviors to be efficiently instructed, learned, and improved over time in real world environments. Our team has deep cross-functional expertise across simulation, perception, controls, language, vision, multimodal learning, and generative modeling. Success is measured by the advancement of robot capabilities. Our north star is fundamental technological advancement in building robots that can flexibly perform a wide variety of tasks in diverse environments with minimal human supervision. Come join us and let’s make general-purpose robots a reality.We operate a fleet of robots, and robot-embodied teaching and deployment are key parts of our strategy. Some of our previous work is highlighted here.
The OpportunityWe’re looking for a driven Robotics Engineer who has experience developing and deploying robotic systems.
Responsibilities
- Contribute to the design and deployment of novel robotic systems through software development.
- Develop tooling to enable stable, performant, and scalable robotic platform deployments.
- Enable research into robot foundation models by working with mechanical/electrical engineers, technicians, and researchers to integrate, test, and deploy new sensors.
- Design and integrate creative system solutions; combining actuation, structure, and sensing, as well as mechanisms and sensory for human-scale manipulation.
- Improve on software/hardware systems and tooling toward more detailed operation of robots.
Qualifications
- B.S. in an engineering-related field and 4+ years of relevant industry experience.
- Strong software engineering skills and comfortable working with Python and C++ codebases.
- Experience with a full-stack approach to robotics, including familiarity with electromechanical systems and actuation, as well as practical software design.
- The ability to craft and deploy integrated systems that complement and bring to bear software and learning algorithms.
- Experience with inter- and in-process communication, parallelism, logging, networking and data systems, and common methods.
- Multi-functional understanding of many levels of a robotic system including both hardware and software, with experience operating robots.
- Exposure to classical motion planning and robotic control, and familiarity with machine-learned policies.
- Familiarity with some of the following: motion control and actuation, whole-body control, robot teleoperation methods, common communication protocols, research robotic arms/platforms, visual perception and depth sensors, machine learning, robotic simulation, force and tactile sensing systems, haptic interfaces.
Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
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Category:
Engineering Jobs
Tags: Engineering Generative modeling Machine Learning Privacy Python Research Robotics Teaching
Perks/benefits: Career development Flex vacation Medical leave Parental leave Salary bonus Team events
Region:
North America
Country:
United States
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