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Toyota Machine Learning Jobs (NOW HIRING)

Toyota

Engineer Race Strategy

Salisbury, NC

Toyota Racing Development (TRD) is seeking an Engineer, Race Strategy to join our team. We are ... Research and integrate advanced methodologies in machine learning, predictive modeling, and ...

Woven by Toyota

Lead Perception Engineer

Palo Alto, CA

$120K - $158K/yr

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company ... A system thinker with technical depth in machine learning approaches to complex systems. This ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI

$100K - $132K/yr

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company ... A system thinker with technical depth in machine learning approaches to complex systems. This ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company ... A system thinker with technical depth in machine learning approaches to complex systems. This ...

Toyota

Application Security, Lead

Plano, TX

Familiarity with applying Artificial Intelligence (AI)or Machine Learning (ML)techniques in ... Toyota Team Member Lease Vehicle Program (if applicable). * Comprehensive health care and wellness ...

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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.
AI Resident - Learning From Videos (LFV)

AI Resident - Learning From Videos (LFV)

Toyota Research Institute

Los Altos, CA • On-site

$45 - $60/hr

Full-time

Medical, Dental, Vision, PTO

Posted 23 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

The Learning From Videos (LFV) team in the Robotics division focuses on the development of foundation models capable of leveraging large-scale multi-modal (RGB, depth, flow, semantics, bounding boxes, tactile, audio, etc) data from multiple domains (driving, robotics, indoors, outdoors, etc) to improve downstream task performance. 

Our approach emphasizes training scalability: by learning from multiple modalities, models can develop useful data-driven priors about 3D geometry, physics, and dynamics for world understanding. 

Our research interests include, but are not limited to:

  • Video Generation
  • World Models
  • 4D Reconstruction
  • Multi-Modal Models
  • Multi-View Geometry
  • Data Augmentation
  • Video-Language-Action Models
We focus primarily on embodied applications and aim to tackle some of the hardest scientific challenges in spatio-temporal reasoning, enabling autonomous agents to operate in real-world, unstructured environments.

The AI Resident

This year-long AI Residency is a research-focused position designed for early-career researchers and engineers who are excited to work on ambitious problems in embodied AI. The resident will be deeply integrated into the LFV team, contributing to both ongoing and new research efforts in areas including:

  • 4D World Models
  • Physical and Embodied Intelligence
  • Multi-Modal Learning


As an AI Resident, you will collaborate closely with researchers and engineers at TRI on high-risk, pushing forward our understanding of spatio-temporal reasoning and zero-shot generalization. This is a research-focused position, targeting the development of methods and techniques that can solve real-world problems. 

We welcome you to join a positive, friendly, and enthusiastic team of researchers, where you will contribute to helping people gain and maintain independence, access, and mobility. We work closely with other Toyota affiliates, and actively collaborate towards research publications and the productization of our developed technologies.

Responsibilities
  • Develop, integrate, and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications.
  • Handle the ingestion of large-scale datasets for training, including streaming, online, and continual learning.
  • Contribute innovative solutions at the intersection of machine learning, computer vision, and robotics to improve real-world task performance.
  • Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs.
  • Follow best practices producing maintainable code, both for internal use as well as for open-sourcing to the scientific community.
  • Contribute to research publications and technical reports.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
  • Exceptional candidates with equivalent research experience (e.g., strong publication record, open-source contributions, or industry research experience) are encouraged to apply.
  • Strong background in computer vision and its applications to robotics and embodied systems.
  • Demonstrated research experience through publications, technical projects, or open-source contributions.
  • Strong communication skills and a collaborative mindset, with the ability to learn quickly and contribute to team research efforts.
  • Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, human-robot collaboration, and physical assistance innovation.
Bonus Qualifications
  • Spatio-temporal (4D) computer vision, including multi-view geometry, 3D/4D reconstruction, video generation, self-supervised learning, occlusion reasoning, etc.
  • Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc.
  • Application of machine learning and computer vision to embodied applications.
The pay range for this position at commencement of employment is expected to be between $45 and $60/hour 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, and paid time off benefits (including holiday pay and sick time). Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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