Team Lead, Data Annotation and Labeling, Enterprise AI Full-time

About Woven by Toyota

Woven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.

TEAM

The Enterprise AI team is dedicated to empowering Toyota and its affiliates with a robust platform for AI innovation. Our mission is to provide a comprehensive, end-to-end machine learning ecosystem that propels the development of groundbreaking projects, such as autonomous driving, within the Toyota Group. As a standardized machine learning platform under Woven by Toyota, we aim to streamline every facet of AI development, from training and inference to MLOps, thereby enhancing the safety, convenience, and autonomy of Toyota vehicles.

Within this dynamic environment, the Data Engineering team plays a pivotal role. We design and implement scalable, globally distributed data delivery solutions tailored for Toyota and its partners. Our team is at the forefront of developing both human-assisted and automated data labeling services, and we engage collaboratively across various model development and AI solution initiatives. Through these efforts, we ensure that data is not only accessible but also actionable, driving innovation and efficiency across the enterprise.

WHO ARE WE LOOKING FOR?

As the team lead of the Data Engineering team you will help to grow and nurture the team and deliver value to our customers and business. You have a solid technical background coupled with leadership experience managing a production team focused on building and maintaining a reliable customer experience. You will have experience managing large data sets, software development, processes and best practices. You will collaborate with our engineering and operation teams to improve our products and services.

RESPONSIBILITIES

• Lead the team of engineers and foster a collaborative environment
• Work closely with customers and operations to align on project goals and deliverables
• Build and maintain high quality product and development standards with the team
• Work with product partners to break down high-level requests into implementation plans
• Report to function head of Data Annotation and Labeling
• Come to the office 3 days per week following our hybrid work policy

MINIMUM QUALIFICATIONS

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
• 5+ years of experience with software development in one or more programming language such as C++, C# or Python (preferred)
• 3+ years of experience with machine learning (ML) development, including data processing, model implementation, model evaluation, model deployment
• Experience with Computer Vision (e.g. object detection and semantic segmentation)
• Business level proficiency in English

NICE TO HAVES

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field
• Experience with ML workflows and tools, including unit testing, CI/CD pipelines, model tracking, and artifact management
• Experience with vision language models (VLM), Image or Point Cloud data processing
• Experience with cloud platforms such as AWS and GCP
• Advanced knowledge of deep learning
• Ability to create clear and comprehensive documentation
• Business level proficiency in Japanese

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
• 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.