ML / データサイエンティスト・Perception at Woven by Toyota | JP | Rezi

ML / データサイエンティスト・Perception at Woven by Toyota

ML / データサイエンティスト・Perception

Woven by Toyota · JP

2 weeks ago

ML / データサイエンティスト・Perception

Woven by Toyota · JP

19 days ago
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About the Role

Woven by Toyota is contributing to Toyota's once-in-a-century transformation into a mobility company. Inspired by a history of inventing for others, our mission is to expand the definition of mobility, extend how mobility can serve society, and challenge the norms of mobility with people-centric innovation. We operate around four pillars: AD/ADAS, Arene, Woven City, and Cloud & AI. We are committed to realizing a "zero-accident society" and "mass production of happiness."

Responsibilities

  • Formulate data strategies for collecting, sampling, labeling, handling, and utilizing vast amounts of data from markets, test vehicles, and simulators.
  • Contribute to improving the performance of machine learning models for recognition stacks for camera images deployed in millions of vehicles.
  • Design and improve scalable data pipelines and automation for machine learning and performance evaluation.
  • Analyze large-scale data to understand its characteristics and propose technical solutions for machine learning and performance evaluation.
  • Lead data-related activities within the team and across the company, including collaboration with the Toyota Group, and enhance the data science capabilities of team members.

Requirements

  • 5+ years of experience in the industry or research field of AD/ADAS, robotics, or computer vision.
  • 3+ years of experience in data science or a related field, including machine learning theory (deep learning, statistical analysis, mathematical modeling, etc.).
  • Software development experience using Python for data science (numpy, scipy, scikit, pandas), databases, and cloud platform services (AWS, GCP, Azure).
  • Bachelor's degree in a science or engineering field.
  • Business-level English proficiency.

Skills

  • Machine Learning
  • Deep Learning
  • Statistical Analysis
  • Mathematical Modeling
  • Python
  • Numpy
  • Scipy
  • Scikit
  • Pandas
  • Databases
  • AWS
  • GCP
  • Azure
  • Computer Vision
  • Data Science
  • Software Development
  • Data Strategy
  • Data Pipelines
  • Automation
  • Data Analysis
  • Recognition Technology

Location

  • Nihonbashi Office

Work Type

  • Hybrid

Experience Level

  • 5+ years of experience in AD/ADAS, robotics, or computer vision
  • 3+ years of experience in data science or a related field
  • 2+ years of experience in technical lead or management roles in data science or related fields for business applications

Education Level

  • Bachelor's degree in a science or engineering field
  • Master's degree or Ph.D. in a related field (preferred)
  • 5+ years of experience in data science or a related field (preferred)

Salary/Compensations

  • Industry-standard salary commensurate with experience

Benefits

  • Flexible working hours
  • Annual paid leave: 20 days per year (prorated for the first year based on start month)
  • Sick leave: 6 days per year (prorated for the first year based on start month)
  • Holidays: Saturdays, Sundays, national holidays, and other days designated by the company
  • Social insurance: Health insurance, Employees' Pension Insurance, Industrial Accident Insurance, Employment Insurance, Long-Term Care Insurance
  • Housing allowance
  • Retirement plan
  • Rental car support
  • In-house training programs (software learning, language learning)

About the Company

  • Woven by Toyota is contributing to Toyota's once-in-a-century transformation into a mobility company.
  • Our mission is to expand the definition of mobility, extend how mobility can serve society, and challenge the norms of mobility with people-centric innovation.
  • We operate around four pillars: AD/ADAS, Arene, Woven City, and Cloud & AI.
  • We are committed to realizing a "zero-accident society" and "mass production of happiness."

Equal Opportunity

  • We provide equal employment opportunities and respect diversity.
  • Personal information received will be used solely for recruitment and onboarding purposes. Please refer to our Privacy Policy for details.