lever
Engineering Manager, Machine Learning Behavior Planning & Prediction
Woven-by-toyota
Palo Alto, USA
Full-time
Senior · 3+ years experience
Hybrid
USD 140000-230000 yearly / year
Discovered 1 weeks ago
Python
Free
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- 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 and by providing high-quality code and design document reviews and delivering rigorous reports from ML experiments.
- 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.
- 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. A strong candidate should have demonstrated strong technical leadership, team development, and delivered high-impact projects in the automotive industry.
- 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
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