Machine Learning Engineer developing advanced SLAM systems for autonomous trucking environments at Bot Auto. Collaborating with cross - functional teams to optimize mapping solutions and ensure operational stability.
WT
Hybrid Senior Machine Learning Software Engineer, Behavior Planning – Prediction
Posted 2 months ago
About the role
- Machine Learning Engineer at Woven by Toyota developing advanced ML models for autonomous vehicles. Join us to innovate in mobility technology with a focus on human-centered solutions.
Responsibilities
- Lead the development of foundational ML components to improve speed and ease of development of advanced machine learning models specifically tailored for autonomous vehicles utilizing deep learning and large-scale data
- Deploy extensible, scalable and efficient ML data curation, training and evaluation cloud pipelines
- Analyze model performance metrics, model failure modes, statistical relevance of datasets, etc., to guide the overall ML engineering effort
- Integrate modern technologies with rigorous safety standards while maintaining cost efficiency
- Significantly contribute to the development of needed components for end-to-end ML training and deployment, from data strategy to optimization and validation
- Operate cross-functionally and serve a dual hat role in identifying opportunities to improve production models while also trailblazing and generalizing involved methods and toolings to empower others
- 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
Requirements
- BSc / BEng (MS / PhD nice-to-have) in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience
- 3+ years of experience with Python, PyTorch/Tensorflow, and software engineering best practices
- 3+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization
- Comfortable in writing C++ code to help integrate with our autonomous vehicle platform
- Deep understanding of runtime complexity, space complexity, distributed computing, and the application of these concepts in concrete, distributed ML training and evaluation
- Experience working with temporal data and/or sequential modeling
- 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
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Not specified
Degree requirement
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