Machine Learning Engineer
Collision Avoidance System
Confirmed live in the last 24 hours
San Carlos, CA, USA
Experience Level
Desired Skills
Data Structures & Algorithms
  • 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
  • You will develop new algorithms that consume raw sensor data input to detect dynamic entities in the world
  • You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
  • You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time
  • You will develop metrics and tools to analyze errors and understand improvements of our systems
  • You will 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
Desired 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

1,001-5,000 employees

Self driving car robotics company
Company Overview
Zoox is reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. The company is building the infrastructure for self-driving cars.
  • Health Insurance
  • Maternity & Paternity Leave
  • Vacation & Paid Time Off
  • Sick Days
  • Free Lunch or Snacks
  • Employee Assitance Program
Company Core Values
  • We're doing one thing that will change everything.
  • It's bigger than any of us.
  • One Zoox, one crew.
  • Every day is a milestone.