AI/ML Quality Engineer
Woven by Toyota
full-time
Posted on:
Location Type: Hybrid
Location: Tokyo • 🇯🇵 Japan
Visit company websiteJob Level
SeniorLead
Tech Stack
KerasPythonPyTorch
About the role
- Regularly review and improve Woven by Toyota internal engineering standards with regards to the new standards and regulations that are being released for the AI technology, and align with stakeholders from in/outside of the company.
- Assist engineering teams in defining and implementing tailored engineering processes with the focus on AI technology development.
- Support product integrity teams in defining and managing AI technology quality and safety acceptance metrics and criteria.
- Participate in the identification of risks, hazards and potential failures of the products that contain AI technology, acting as a facilitator and mentor during these activities.
- Guide engineering teams through the evaluation and qualification of the SW tools that are used for the AI technology development or contain AI “under the hood”.
- Perform review and assessments of the work products related to the AI technology and created by the engineering teams, highlighting any gaps and managing findings resolution plans.
- Participate in engineering teams audit sessions to help identify any process deployment and execution gaps related to the AI engineering activities.
- Own competency management plans for engineers and managers, creating, maintaining and executing them, including active contribution to the Woven by Toyota training programs.
- Steer data management frameworks safety and quality across multiple lines of business, assuring data integrity, quality and safety are assured.
- Promote the safety and quality culture across the company together with the Global Safety and Quality team.
Requirements
- Minimum 8-10 years experience in the automotive or AV industry for mass production(ideally with the focus on software safety or quality).
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or Software Engineering.
- Strong knowledge of SW engineering processes and tools (i.e., github/gitlab, unit test frameworks,
- Strong understanding of the AI technologies used in the automotive industry (e.g., CNNs, RNNs, Transformer-based architectures) and at least 2 years of practical experience working with such technologies.
- ML engineering experience with pytorch and/or tf+keras (C++ and/or Python).
- Understanding of the C++ syntax and ability to read and analyse the codebase.
- Knowledge of how data build tools and data pipelines work (dbt, Snowflake).
- Business level English and Japanese.
Benefits
- 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)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI technology developmentSW engineering processesmachine learning engineeringC++PythonCNNsRNNsTransformer-based architecturesunit test frameworksdata pipelines
Soft skills
stakeholder alignmentmentoringrisk identificationprocess improvementquality assurancefacilitationcommunicationteam collaborationproblem-solvingtraining program development