Senior Machine Learning Engineer, Behavior

Woven Planet

Machine Learning Engineer designing and developing advanced machine learning models for Woven by Toyota's autonomous vehicles. Collaborating with multiple teams to enhance mobility solutions in autonomous driving.

Posted 6/9/2026full-timeTokyo • 🇯🇵 JapanSeniorWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Lead the design and development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning, simulation, and large-scale data analysis
Deploy scalable and efficient ML models on our autonomous vehicle platform
Integrate modern technologies with rigorous safety standards while maintaining cost efficiency
Significantly contribute to development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation
Be a champion of the scientific method and critical thinking in inventing state-of-the-art deep learning solutions
Work in a high-velocity environment and employ agile development practices
Collaborate closely with teams such as Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions

Requirements

What you’ll need

MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience
3+years of experience with Python, any major deep learning framework, and software engineering best practices
Comfortable in writing C++ code to help integrate with our autonomous vehicle platform
3+years of experience with deep learning approaches such as pretraining, distillation, unsupervised/supervised learning, multi-task learning, and/or deep reinforcement learning
3+years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
Strong communication skills with the ability to communicate concepts clearly and precisely.

Benefits

Comp & perks

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)

ATS Keywords

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Hard Skills & Tools

machine learningdeep learningPythonC++data analysismodel traininginference optimizationpreprocessingsupervised learningunsupervised learning

Soft Skills

communicationcritical thinkingcollaborationagile developmentscientific method

Certifications

MS in Machine LearningPhD in Machine LearningMS in Computer SciencePhD in Computer ScienceMS in RoboticsPhD in Robotics