Computer Vision / Machine Learning Engineer, Perception & Prediction (internship)

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

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 through to the end of March 2027 ※Must be in school until the end of internship program ・Must be available for a 3-month on-site internship in 2025 ・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) ・Overseas Students (Based outside of Japan) 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, 2025,  August 1, 2025 ・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 onsite 　　・Overseas Students (Based outside of Japan): Air tickets, visa support, and temporary housing will be provided 　　・Local Students (Outside of Tokyo): Temporarily housing will be provided

FINAL APPLICATION DUE Start date: June 1, 2025 ・Overseas Students (Based outside of Japan): January 19, 2025 JST 23:59 ・Local Students (Including non-Japanese Based in Japan): March 23, 2025 JST 23:59

Start date: August 1, 2025 ・Overseas Students (Based outside of Japan): February 21, 2025 JST 23:59 ・Local Students (Including non-Japanese based in Japan): May 18, 2025 JST 23:59

※Please note that the position may be closed prior to the final application due date. Please apply as soon as possible.

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TEAM Our team builds human-centered automated driving solutions for personal and commercial use, and turns state-of-the-art perception & prediction technology into production-ready AD/ADAS systems deployed to millions of vehicles. To accomplish our goals we are solving complex real-world problems using petabyte-scale sensor data and a huge variety of computer vision and deep learning techniques.

WHO ARE WE LOOKING FOR? You combine your knowledge of modern machine learning and computer vision with a strong consideration for safety and cost efficiency. You aspire to be an expert in the field of neural networks, multi-view geometry and general software engineering. Also, you bring patience and a deeper understanding of Toyota’s mass production processes by asking “What can I do for you?” with a “Giver” mindset. As an intern, you will get to know our perception & prediction  stack, and will report to one of our tech leads.

RESPONSIBILITIES

• Train neural networks for autonomous driving tasks, such as object and road detection, semantic segmentation, occupancy estimation, keypoint detection & tracking, SLAM, etc.
• Build cloud workflows that connect your ML model with data curation and evaluation pipelines
• Participate in the complete ML life cycle: develop a new task or neural architecture, optimize it for execution on our in-vehicle compute platform, deploy it to a development build, work with peer engineering teams to integrate it into the full stack, and validate its safety with our Quality Assurance team.
• Stay up-to-date with advances in computer vision and machine learning, particularly in the areas of detection & tracking, temporal models, SLAM, neural radiance fields (NeRF) etc.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in computer science, engineering, or similar
• Good knowledge of Python and Pytorch. Knowledge in C++ is a bonus!
• Experience with computer vision (especially multi-view geometry) and deep learning (layer details, loss functions, optimization)
• Experience with data libraries including jupyter, numpy, scipy, pandas,  scikit-learn, matplotlib, etc.
• Good proficiency in English

NICE TO HAVES

• Experience with SIMD/SIMT parallelism, GPU programming, multithreaded programming
• Experience with other typical autonomy sensors, such as Lidar, Radar, IMUs, etc.
• Experience in optimizing deep-learning models towards specific hardware targets
• Experience with AWS services
• Good proficiency in Japanese