About the role

Machine Learning Engineer developing perception foundation models leveraging multimodal sensor data for autonomous vehicles at Woven by Toyota. Design, implement machine learning solutions, influence Toyota production vehicles.

Responsibilities

(Senior) Lead the design and development of perception foundation models for autonomous vehicles, unifying diverse sensor data for scalable 3D scene understanding
(Non-Senior) Design and develop advanced machine learning perception 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

MS or PhD in Machine Learning, Computer Vision, 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
(3+years of) experience with deep learning approaches such as supervised/unsupervised learning, transfer 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
Experience working with large-scale foundation models, including pre training, multimodal architectures, self-supervised learning approaches
Deep understanding of runtime complexity, distributed/cloud ML infrastructure, data pipeline architecture, resource-aware optimization
Comfortable in writing C++ code to help integrate with our autonomous vehicle platform
(Strong leadership skills to influence others and the team's technical strategy)
Strong communication skills with the ability to communicate concepts clearly and precisely

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)