Woven by Toyota
Engineering Manager, Machine Learning Behavior Planning & Prediction
Palo Alto, CA
Sponsorship not specified$140k-$230kDetected 145 days ago
AlgorithmsCode ReviewCI/CDMachine LearningDeep LearningNLPRoboticsResearchLeadershipCommunicationCritical ThinkingMentoring
About the role
- Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company.
- Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.
- TEAM The Behavior team at Woven by Toyota tackles Autonomy challenges for problems in prediction and trajectory planning.
Responsibilities
- 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.
- 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.
- Collaborate closely with teams such as Perception, Simulation, Infrastructure, and Tooling to drive unified solutions.
- We are committed to creating a modern work environment that supports our employees and their loved ones.
Requirements
- 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.
- Strong communication skills with the ability to communicate concepts clearly and precisely
- Proven track record of deploying ML models at scale in self-driving or related fields.
- Familiarity with production-level coding in time-limited task schedules.
- Experience with robot motion planning (e.g., trajectory optimization, sampling-based planning, model predictive control)
- Experience with temporal data and/or sequential modeling.
- Experience in self-driving challenges (Perception, Prediction, Planning, Simulation).
Compensation
- The base pay ranges from $140,000 to $230,000 per year.
Benefits
- Be a champion of the scientific method and critical thinking to invent state-of-the-art deep learning solutions
Company info
- Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.
- Design reusable software components as part of an integrated system.
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