About the role

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.

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)