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Learned Trajectory Machine Learning Engineer (Machine Learning)
189 000 - 270 000$
Описание вакансии
Текст:
TL;DR
Learned Trajectory Machine Learning Engineer (Machine Learning): Developing deep learning models for trajectory generation in autonomous vehicles with an accent on behavior prediction and motion planning. Focus on collaborating with cross-functional teams to enhance vehicle performance in complex urban environments.
Location: Foster City, CA
Salary: $189,000 - $270,000
Company
is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
What you will do
- Develop new deep learning models using imitation and reinforcement learning for autonomous vehicle driving plans.
- Leverage large-scale machine learning infrastructure to discover innovative solutions.
- Develop metrics and tools for error analysis and system improvements.
- Collaborate with engineers on Perception, Planning, and Simulation to solve autonomous driving challenges.
Requirements
- BS, MS, or PhD in computer science or related field.
- Experience with transformer-based model architectures and reinforcement learning.
- Experience with production machine learning pipelines.
- Fluency in C++ or Python with basic C++ understanding.
- Strong mathematics skills.
Nice to have
- Conference or journal publications in Machine Learning or Robotics.
- Prior experience with prediction and/or autonomous vehicles.