The Role
The internship involves designing, building, and maintaining ML systems for perception, prediction, and planning in self-driving technologies, offering hands-on experience in ML engineering practices and tools.
Summary Generated by Built In
About Woven by Toyota
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
MAKE A BIG IMPACT TOGETHER
Are you ready to make a difference towards mobility for all? Woven by Toyota internships may be the place for you. In this internship program, you will participate in one meaningful project that impacts our future key results, and work with our colleagues as one team. Our world-class engineers will be your mentors, supporting you in order to provide you with a fruitful experience. We look forward to hearing from engineering students who have a strong passion to make people’s lives better and happier, and to create products that innovate the world through technology!
MINIMUM REQUIREMENTS
・Currently pursuing an Associate’s, Bachelor’s, Master’s, or PhD degree with an expected graduation by the end of March 2028
※Must be in school until the end of internship program
・Must be available for a 3-month on-site internship in 2026 (During the internship, remote is not eligible.)
・Have no more than 24 months of professional full-time work experience in the technology field (excluding internships, research and/or teaching assistant roles, and military experience)
・International students who require visa support must meet one of the following requirements:
・The internship program is part of your education and essential for your graduation
・This internship allows you to receive some credit(s) for your education program
・Have Bachelor degree at the time of application
WORKING CONDITIONS
・Start Date: June 1, 2026, August 3, 2026
・Internship Duration: 3 months
・Expected work hours: 5 days (40 hours/week), depending on visa and class scheduling, some flexibility for shorter hours may be available
・Salary Type: Hourly wage
・Work Location: Nihombashi (head office)
・Others:
・The program is expected to be on-site
・International students: Air tickets, visa support, and temporary housing will be provided
・Japan-based students (outside Tokyo): Temporary housing will be provided
FINAL APPLICATION DUE DATES (all dates are in JST)
Start date: June 1, 2026 (Monday)
・Tokyo-based Japanese students: March 20, 2026 (Friday)
・Overseas-based Japanese students, Overseas-based PR holders, or Japan-based students requiring accommodation in Tokyo: March 17, 2026 (Tuesday)
・Japan-based international students: February 19, 2026 (Thursday)
・International students without a Japanese work permit: February 2, 2026 (Monday)
Start date: August 3, 2026 (Monday)
・Tokyo-based Japanese students: May 22, 2026 (Friday)
・Overseas-based Japanese students, Overseas-based PR holders, or Japan-based students requiring accommodation in Tokyo: May 19, 2026 (Tuesday)
・Japan-based international students: April 15, 2026 (Wednesday)
・International students without a Japan work permit: April 6, 2026 (Monday)
※Please apply as soon as possible as positions may close before the final application due dates. Visa-supported or student visa applicants require a minimum of 2.5 months for processing.
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TEAM
At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. Our work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for Perception, Prediction, and Motion Planning. We are looking for doers and creative problem solvers to join us in improving mobility for everyone with human-centered automated driving solutions for personal and commercial applications.
WHO ARE WE LOOKING FOR?
The team is looking for a skilled Software Engineer or Machine Learning Engineer to join the Machine Learning Platform team, and work in close collaboration with and/or embedded in our ML teams to accelerate and scale up our overall ML engineering activities, enabling shipping Perception, Prediction and Planning ML models and our AD/ADAS stack to millions of Toyota customer vehicles. We are looking for individuals who are passionate about self-driving car technology and its potential impact on humanity, and able to leverage cutting-edge technologies to solve real-world problems while also considering ML engineers’ productivity and cost efficiency. We are looking for individuals who exhibit a "giver" mindset, consistently seeking opportunities to assist their colleagues while maintaining a strong focus on delivering solutions to production.
RESPONSIBILITIES
- Design, build, maintain, optimize and support the ML Platform’s systems and tools for perception, prediction, and planner development, allowing numerous ML engineers to effectively & efficiently iterate on dataset curation, ML modeling, training, evaluation and deployment of ML models into our functionally safe AD/ADAS stack, shipped in millions of Toyota vehicles
- Develop user-friendly tooling, frameworks and libraries to support the overall ML engineering effort, from ML modeling, to tracking performance metrics and introspecting failure modes
- Build and maintain efficient data curation, cloud training and evaluation pipelines
- Develop and review code with other ML and ML Platform engineers to facilitate rapid incremental improvements
- Optimize the current processes, tooling and supporting infrastructure to accelerate the overall ML engineering effort, and contribute to the long term strategy for several of our systems and products
- Work in a high-velocity environment and employ agile development practices
- Work from our Nihonbashi (Japan) office five days per week
MINIMUM QUALIFICATIONS
- Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Machine Learning, Robotics or related quantitative fields, with an expected graduation date in 2026 or 2027
- Must be available for a 3-month on-site internship in the summer/autumn of 2026 (See dates below)
- Experience with data structures, algorithms, design patterns, and software engineering best practices
- Experience with UNIX-based systems (Linux or similar), Python, and PyTorch/Tensorflow
- Experience with parts of the MLOps cycle covering data cleansing, data sampling, data curation, pre-processing, training, testing, evaluation, deployment, inference optimization and/or deployment in the cloud and on edge compute platforms
- Experience with Docker and CI systems such as GitHub Actions
- Proficiency in English, able to write technical documents (e.g., for software documentation)
NICE TO HAVES
- Experience with Apache Spark, Airflow, Flyte, Flink, Ray, or similar ML pipelines technologies
- Experience with SIMD/SIMT parallelism, GPU programming, multithreading
- Experience with Terraform, AWS, Observability, and Kubernetes
- Experience with Google Big Query, Snowflake or AWS Redshift
- Experience in self-driving, robotics, computer vision, or motion planning
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Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
INTERNSHIP STRUCTURED WITH YOUR GROWTH IN MIND
・Meaningful Projects that contribute toward your team’s goals and have an impact on our success
・Committed Mentors aligned for each intern for guidance, and managers to support you throughout the internship
・Structured Midpoint Evaluations that share real feedback on how you are growing both technically and professionally
・Professional Development and Fun Events to ensure you are learning and enjoying the summer
・Final Project Presentations that showcase your excellent work to our Woven by Toyota community
・Our interns enjoy many benefits, perks, and housing assistance for the duration of the internship
・As your internship wraps up, you will be considered for a return offer* as a full time employee, to start when you graduate
・*Return offers are limited to candidates who graduate by the end of March 2028, which is an eligibility requirement. If the graduation date is extended beyond this timeframe, the return offer becomes invalid.
Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
Top Skills
Airflow
Spark
AWS
Docker
Flink
Flyte
Github Actions
Python
PyTorch
Ray
TensorFlow
Unix-Based Systems
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The Company
What We Do
Woven by Toyota will help to deliver the safest, most intelligent mobility experiences and lifestyle for Toyota customers everywhere. At Woven by Toyota, we envision a human-centered future, where world-class technology expands global access to mobility, enhances the capabilities of drivers, and empowers people to thrive. We achieve this with a unique global culture that weaves modern Silicon Valley innovation with Japanese quality craftsmanship. As society, technology and customer needs evolve, we continuously pursue new ways to create a more personal, seamless experience for customers.
