Senior ML Engineer at BMT designing and deploying machine - learning systems, collaborating across diverse client projects in defence and security sectors.
WT
Hybrid Senior/Staff Machine Learning Engineer, Behavior Planning – Prediction
Posted 3 months ago
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)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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