Hybrid Senior/Staff Machine Learning Engineer, Behavior Planning – Prediction

at Woven by Toyota

• Job title: Senior/Staff Machine Learning Engineer, Behavior Planning – Prediction
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python
• Location requirements: Hybrid, Tokyo, Japan

About the role

• Machine Learning Engineer working with Woven by Toyota on autonomous vehicle technology and innovative ML models.

Responsibilities

• Drive high-impact projects by defining the technical roadmap and inspiring cross-functional alignment toward shared success
• Lead the design and development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning 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

• MS or PhD in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience
• 5+ 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
• 5+ years of experience with deep learning approaches such as supervised/unsupervised learning, transfer learning, multi-task learning, and/or deep reinforcement learning
• 5+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
• Strong leadership skills to influence others and the team's technical strategy
• Strong communication skills with the ability to communicate concepts clearly and precisely

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)