In this role, you will:
- Develop new algorithms that consume raw sensor data input to detect dynamic entities in the world
- 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 the other parts of CAS Perception, CAS Verification & Validation, CAS Planner, and the Main AI teams 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++
- 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 in general
- Fluency in Python
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What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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