Data Scientist, Perception, ADAS Auto-Labeling

Job Description

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.

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TEAM

We develop human-centered automated driving solutions for personal and commercial use. We develop perception technologies and its production software for the AD/ADAS system. To work towards a reliable and functional system, we are solving complex real-world problems using large-scale data, machine learning algorithms, and a variety of perception technologies.

WHO ARE WE LOOKING FOR?

You will combine modern technologies with safety standards while also considering cost efficiency. You will be an expert in neural networks and software engineering. Also, you have patience to handle the processes required for production development and approach them by asking "What can I do for you?" with a "Giver" mindset.

You appreciate a hybrid workspace and can come to our Nihonbashi office three days per week, and report to the head of perception engineering for AD/ADAS.

RESPONSIBILITIES

・Come up with data strategies on how to better leverage our labeled datasets to improve the performance of our auto-labeling pipeline (data sampling)

・Develop and maintain data pipelines to monitor annotation quality metrics, model failure patterns, and dataset characteristics at scale using data warehouses and distributed processing tools

・Collaborate with the ML team to diagnose model bottlenecks through statistical analysis and data slicing, identifying whether issues come from insufficient training samples, distribution shifts, or systematic biases in the annotation process

・Participate in data-related activities within the team, across the company in collaboration with Toyota group, and enhancing team members' capability for data science

MINIMUM QUALIFICATIONS

・2+ years experience in following industries or research areas:

　　　・AD/ADAS

　　　・Robotics

　　　・Computer Vision

・2+ years experience in data science or related areas, including theoretical aspects of data science like machine learning (deep learning, statistical analysis, and mathematical modeling)

・Experience writing software using 1) Python for data science (numpy, scipy, scikit, pandas), 2) database, and 3) cloud platform services (AWS, GCP, Azure)

・Bachelor's degree in science or engineering

・Business-level proficiency in English

NICE TO HAVES

・Master's degree or Ph.D. in related field

・5+ years experience in data science or related areas

・Hands-on experience in the following:

　　　・Experience with computer vision datasets and annotation pipelines, particularly for autonomous systems or multi-camera setups, with a track record of identifying and resolving data quality issues

　　　・Familiarity with active learning strategies and uncertainty quantification techniques to prioritize which samples need human review or re-annotation

　　　・Proficiency with data visualization tools and statistical methods for large-scale dataset analysis, enabling quick identification of distribution shifts, labeling inconsistencies, or underrepresented scenarios in the training data

　　　・Strong Python programming skills with experience using Git for version control and collaborative development in a team environment

　　　・Hands-on experience with data infrastructure tools such as data warehouses, dbt for data transformation, and Spark for large-scale data processing

・Business-level proficiency in Japanese (especially, smooth reading and listening)

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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.

WHAT WE OFFER

・Competitive Salary - Based on experience

・Work Hours - Flexible working time

・Paid Holiday - 20 days per year (prorated)

・Sick Leave - 6 days per year (prorated)

・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company

・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance

・Housing Allowance

・Retirement Benefits

・Rental Cars Support

・In-house Training Program (software study/language study)

Our Commitment