Staff Machine Learning Engineer, Perception

April 6

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Woven by Toyota

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Mobility to Love, Safety to Live

software development • automated driving • vehicle software platform • smart city

1001 - 5000

Description

• Perception ML model R&D by prototyping, validating and iterating on existing and new model architectures. • Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance. • Lead large, multi-person projects and significantly influence the overall Perception 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 Perception subteams to develop end-to-end solutions.

Requirements

• MS, or higher degree, in CS/CE/EE, or equivalent in industry experience. • 5+ years of experience with ML frameworks such as PyTorch, Caffee, Tensorflow • Extensive experience with machine learning and classification • 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization. • Strong programming skills in Python or C++ • Passionate about self-driving car technology and its potential for humanity. • Experience in writing production level code in a real-time operating system. • Strong communication skills and ability to communicate concepts clearly and precisely • (Nice to Have) Hands-on experience with building a perception stack for autonomous systems. • (Nice to Have) Experience in runtime optimization for runtime-critical systems on Linux and UNIX-like real-time operating systems. • (Nice to Have) Experience with CUDA or OpenCL • (Nice to Have) Experience with automotive-grade compute platforms • (Nice to Have) Experience with building safety-critical software architectures.

Benefits

• Work on cutting-edge technology for autonomous driving • Opportunity to design and develop new Machine Learning models • Influence the overall Perception architecture and technical direction • Collaborate with stakeholders and other engineers in a high-velocity environment