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Toyota Machine Learning Jobs (NOW HIRING)

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that ... We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong ...

Toyota

Principal Data Scientist

Plano, TX

Who we're looking for Toyota's OneTech Data Science and Machine Learning Department is looking for a passionate and highly motivated Principal Data Scientist. The primary responsibility of this role ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong ...

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All JobsToyota Machine Learning Jobs

Toyota Machine Learning information

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$25.5K

$42.6K

$88K

How much do toyota machine learning jobs pay per year?

As of Jun 7, 2026, the average yearly pay for toyota machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is the difference between Toyota Machine Learning vs Toyota Data Scientist?

AspectToyota Machine LearningToyota Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML algorithmsBachelor's or Master's in Data Science, Statistics, or related; strong programming skills
Work EnvironmentDeveloping ML models for automotive applications within R&D teamsAnalyzing data to inform business decisions within Toyota's analytics teams
Employer & Industry UsageAutomotive manufacturing, R&D, AI integrationData analysis, predictive modeling, business insights in automotive industry

Both roles involve data analysis and machine learning skills, but Toyota Machine Learning focuses on developing ML models for automotive innovations, while Toyota Data Scientists analyze data to support business strategies. The roles often overlap but differ in application focus and environment.

What are Toyota Machine Learning jobs?

Toyota Machine Learning jobs involve developing and applying artificial intelligence and data-driven algorithms to improve automotive technologies and business processes. These roles typically focus on designing, training, and deploying machine learning models for applications such as autonomous driving, predictive maintenance, quality control, and customer experience. Employees in these positions work closely with software engineers, data scientists, and automotive experts to create innovative solutions that enhance vehicle safety, efficiency, and performance. A strong background in computer science, statistics, and machine learning is typically required for these roles.

What types of projects do machine learning professionals typically work on at Toyota, and how do they collaborate with other teams?

At Toyota, machine learning professionals often work on projects related to autonomous driving, predictive maintenance, quality control, and optimizing manufacturing processes. These roles require frequent collaboration with cross-functional teams, including software engineers, data scientists, robotics engineers, and product managers. The work environment is typically innovative and fast-paced, with an emphasis on prototyping, testing, and implementing models in real-world automotive applications. Regular communication with domain experts ensures that solutions are practical and aligned with business goals, providing valuable opportunities for professional growth and interdisciplinary learning.

What are the key skills and qualifications needed to thrive as a Toyota Machine Learning Engineer, and why are they important?

To thrive as a Toyota Machine Learning Engineer, you need a solid background in computer science, mathematics, and machine learning algorithms, often supported by a relevant degree and experience with real-world data. Proficiency in programming languages like Python, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and experience with automotive systems are typically required. Strong problem-solving skills, collaboration, and effective communication set exceptional candidates apart in this field. These skills and qualities are vital for designing robust AI solutions that meet Toyota's high standards for innovation, safety, and efficiency in automotive technology.
Infographic showing various Toyota Machine Learning job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 3% Full Time, and 94% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Research Scientist, Adaptive Behavioral Systems

Machine Learning Research Scientist, Adaptive Behavioral Systems

Toyota Research Institute

Los Altos, CA

$176K - $253K/yr

Full-time

Posted 4 days ago

Job description

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


The Team 
 
TRI’s Adaptive Behavioral Systems Department within our Human-Centered AI (HCAI) Division aims to develop AI systems that can support behavior change, such as reducing carbon emissions. To do this, we are developing novel models of human behavior that integrate behavioral science, Human-Computer Interaction, and advanced machine learning.
 
The Opportunity
 
We are looking for an AI Research Scientist, or Senior Machine Learning Research Scientist with expertise in large-scale foundational model training, fine-tuning, evaluation and benchmarking. This role operates at the forefront of generative machine learning and human behavior modeling. Ideal candidates will bring a strong research track record, hands-on experimentation skills, and experience developing and deploying foundational models. This role sits at the intersection of social science and generative AI, building models that represent human beliefs, preferences, and cognition as they change over time. For an example of our early research in this vein, please see https://arxiv.org/abs/2403.20252.
Responsibilities
  • Conduct machine learning research that integrates behavioral science concepts to push the boundaries of knowledge and the state of the art in Human-Centered AI.
  • Develop and evaluate generative AI and machine learning methods for modeling and understanding human behavior.
  • Collaborate cross-functionally with researchers in multiple fields, as well as university partners.
  • Stay up to date on the state-of-the-art in machine learning theories, methods and tooling.
  • Collaborate with scientists in the Adaptive Behavioral Systems Department to shape our research program and to communicate research to Toyota stakeholders.
  • Publish research findings in academic journals and/or conferences.
  • Contribute to technology transfer of research insights and prototypes throughout Toyota.
Qualifications
  • PhD in computer science, machine learning, or a closely related field with 1-7 years of experience in machine learning research or related projects in an industry setting, particularly in areas related to LLM training or large-scale ML. Industry experience is a plus. 
  • A strong publication record in ML, NLP, deep learning, or related fields.
  • Awareness of current machine learning research and the ability to critically evaluate emerging techniques and literature.
  • Experience with LLM/MLLM pretraining, fine-tuning (e.g., SFT, RLHF) and agentic systems.
  • Proficiency in  Python and modern deep learning frameworks such as Pytorch or Tensorflow
  • Ability to work collaboratively across disciplines and functions.
  • Ability to balance multiple projects, including short-term and those that may span several years.
  • Strong project management skills and desire to work on cutting-edge open-ended research projects.
  • Demonstrated ability to independently identify research opportunities, formulate well-scoped problems, and lead research projects end-to-end.
  • Demonstrated ability to work autonomously while soliciting feedback.
  • Strong interpersonal skills. Great teammate.
Bonus Qualifications
  • Experience with one or more of the following areas: diffusion models, uncertainty modeling, reinforcement learning, and physiological signal processing.
  • Previous experience in human modeling (both cognitive and behavioral) with generative AI.
  • Experience with human-centered research (e.g. computational behavioral and social science, human-computer interaction, neuro-science).
Please add a link to Google Scholar to include a full list of publications when submitting your CV for this position.
 
The pay range for this position at commencement of employment is expected to be between $176,000 and $253,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.