Senior ML Engineer developing scalable production ML systems across various teams in JobCloud. Leading innovation in the AI - driven recruitment landscape, improving job ad visibility and performance.
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
Requirements
- 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
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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