Senior/Staff Machine Learning Engineer - Prediction & Behavior ML
Zoox
In this role, you will:
- Develop new algorithms to model the future behavior of all other agents in the world
- Develop new algorithms to model the future behavior of our own vehicle’s future actions, both in predicting our driving trajectories and estimating their quality in relation to our goals of safety, progress, and comfort
- Develop new algorithms to apply generative deep learning to simulation to improve the realism of our offline validation systems
- Build the foundation models for the on-vehicle and offline applications
- Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
- Engineer software that runs on-vehicle to efficiently execute our algorithms in real time
- Develop metrics and tools to analyze errors and understand improvements of our systems
- Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Qualifications
- BS, MS, or PhD degree in computer science or related field
- Experience with training and deploying Deep Learning models
- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Fluency in C++ or Fluency in Python with a basic understanding of C++
- Extensive experience with programming and algorithm design-Strong mathematics skills
Bonus Qualifications
- Conference or Journal publications in Machine Learning or Robotics related venues
- Prior experience with Prediction and/or autonomous vehicles or robotics in general