Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. As a Principal ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack.
Responsibilities:
- Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time
- Build multi-modal foundation models for on-vehicle and offline applications
- Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems
- Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
- Provide technical mentorship to the broader group of ML developers at Zoox
- Collaborate with engineers on Prediction, 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 on sensor data
- Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern computer vision techniques
- Strong mathematical skills and understanding of probabilistic techniques
- 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:
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
- Experience with autonomous robots
- Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
- Experience with novel pipelines and architectures for convolutional neural nets
- Experience with 3D data and representations (pointclouds, meshes, etc.)
Compensation:
The salary will range from $296,000-$451,000. A sign-on bonus may be part of a compensation package. Zoox also offers a comprehensive package of benefits including paid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.