Engineering Manager, Machine Learning Behavior Planning & Prediction at woven-by-toyota

woven-by-toyota

Palo Alto, CA·2h ago

ManagerFull-timePythonMachine LearningAgileGitAIML

Salary Range

$163,200 - $220,800 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for an experienced and technically strong Engineering Manager to lead a group of talented engineers in the behavior team at Woven by Toyota. This role focuses on developing and deploying state-of-the-art machine learning models for planning and prediction in AD/ADAS, along with their associated data processing pipelines and vehicle deployment.

Key Responsibilities

→Define the team's short-term and long-term technical direction while collaborating on broader, cross-functional strategic initiatives.
→Initiate and influence cross-functional teams towards common development goals.
→Enable and help other engineers on the team to be more effective through coaching and leading by example.
→Be actively involved in day-to-day development and code review.
→Collaborate with team members to design, develop, deploy, and evaluate state-of-the-art algorithms and capabilities for prediction and motion planning.
→Use metrics to measure, validate, and improve performance through testing in simulation and on roads.
→Design reusable software components as part of an integrated system.
→Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing.
→Be a champion of the scientific method and critical thinking to invent state-of-the-art deep learning solutions.
→Work in a high-velocity environment and employ agile development practices.
→Collaborate closely with teams such as Perception, Simulation, Infrastructure, and Tooling to drive unified solutions.

Requirements

✓M.S., Ph.D., or equivalent, in Computer Science, Robotics, Control, Applied Mathematics, or other quantitative fields.
✓3+ years of experience managing an engineering team, both in people management and technical leadership.
✓5+ years of experience with learning-based planning approaches such as supervised/unsupervised imitation learning, transfer learning, multi-task learning, reinforcement learning, and state-of-the-art techniques for sequential modeling like Transformer architectures.
✓5+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
✓Passionate about self-driving car technology and its potential for humanity.
✓Strong communication skills with the ability to communicate concepts clearly and precisely.
✓Strong programming skills in Python.