Machine Learning engineer focusing on innovative online mapping systems for autonomous driving. Collaborating on advanced ML technologies to enhance Toyota's mobility transformation.
Responsibilities
Contribute to ML model R&D by prototyping, validating and iterating on existing and new model architectures towards an online mapping system.
Participate and influence in end-to-end development of new ML models, from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on-road performance.
Influence the overall AD/ADAS online mapping architecture and technical direction.
Enable and help other engineers on the team to be more effective through coaching and leading by example when it comes to writing high-quality code, providing high-quality code and design document reviews and delivering rigorous reports from ML experiments.
Work in a high-velocity environment and employ agile development practices.
Team player and “get things done” mentality.
Collaborate closely with stakeholders in downstream customer teams to define interfaces and requirements for the Perception stack.
Closely collaborate with other Autonomy subteams to develop end-to-end solutions.
Requirements
MS or higher degree in CS/CE/EE, or equivalent industry experience.
Familiar with ML frameworks such as PyTorch, Caffee, or Tensorflow
Experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization.
Experience with machine learning and computer vision problems.
Solid programming skills in Python or C++.
Passionate about applying ML methodology to advance self driving technology.
Good communication skills and ability to communicate concepts clearly and precisely.
Experience in production-level software development best practices.
Benefits
Excellent health, wellness, dental and vision coverage
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