Senior Machine Learning Engineer, Behavior
Hybrid · Tokyo, Tokyo, Japan
Job Summary
Lead design and development of advanced machine learning models for autonomous vehicles leveraging deep learning, simulation, and large-scale data analysis. Deploy scalable ML models on the autonomous vehicle platform, integrate technologies with rigorous safety standards, and contribute to end-to-end ML training and deployment—from data strategy to optimization and validation. Collaborate with Perception, Motion Planning, Simulation, Infrastructure, and Tooling to drive unified solutions. Expect a hybrid work arrangement with in-person presence at the Nihonbashi, Japan office three days per week.
Required Qualifications
- 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
- Proficiency in C++ for integration with autonomous vehicle platform
- 3+ years of experience with deep learning approaches (pretraining, distillation, unsupervised/supervised learning, multi-task learning, deep reinforcement learning)
- 3+ years of experience covering ML workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
- Strong communication skills
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