Staff Machine Learning Engineer

March 12

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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

• Motion Planning ML model R&D by prototyping, validating and iterating on existing and new model architectures leveraging imitation learning, deep reinforcement learning, and large-scale data. • 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 Motion Planning 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 teams such as Perception, Simulation, Infrastructure, Tooling to drive unified solutions. • Closely collaborate with Motion Planning subteams to develop end-to-end solutions.

Requirements

• MS, or higher degree, in Machine Learning, Robotics, CS (or other related fields), or other quantitative fields or equivalent in industry experience. • 5+ years of experience with ML frameworks such as PyTorch, Caffee, Tensorflow • Extensive experience with learning-based planning approaches like imitation learning, reinforcement learning and state-of-the-art techniques for sequential modeling like Transformer architectures, and camera input or vector/point-based representations. • Strong programming skills in Python or C++ • 5+ years of experience in machine learning workflows: data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, inference optimization. • Passionate about self driving car technology and its potential for humanity. • Strong communication skills and ability to communicate concepts clearly and precisely (Nice to Have) • Experience with robot motion planning techniques like trajectory optimization, sampling-based planning, model predictive control, etc or self-driving problems (Perception, Prediction, Mapping, Localization, Planning, Simulation) • Experience in writing production level code in a real-time operating system. • Experience with temporal/sequential modeling and/or reinforcement learning. • Experience in optimizing runtime-critical systems for Linux, UNIX-like real-time operating systems on automotive-grade compute platforms, and building safety-critical software architecture.

Benefits

• Excellent health, wellness, dental and vision coverage • A rewarding 401k program • Flexible vacation policy • Family planning and care benefits