Data Scientist, ML Perception & Data Pipelines

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, joining the team responsible for perception data for ADADAS.

• Come up with data strategies on how to collect, sample, label, handle, and use tons of data from the market, test vehicles, and simulators to improve machine learning model performance of the perception stack for camera images that is deployed to millions of vehicles
• Design and improve the scalable data pipelines and automation for machine learning and performance evaluation
• Analyze large-scale data and identify its characteristics to propose technical solutions for machine learning and performance evaluation
• Lead data-related activities within the team, across the company in collaboration with Toyota group, and enhancing team members' capability for data science

• 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 using1) 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

• Master's degree or Ph.D. in related field
• 5+ years experience in data science or related areas
• 3+ years tech experience in data science or related areas for business applications, such as production, commercial service or public service development
• Hands-on experience in the following:
• Analyze huge (e.g. peta byte) scale database
• Develop perception-related technologies, such as camera image processing, computer vision, machine learning, or deep learning
• Design data annotation rules for machine learning
• Build or manage infrastructure, such as Docker, Kubernetes, Jenkins, GitHub Actions
• 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.

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

Our Commitment

・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

・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

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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