Machine Learning Engineer - Collision Avoidance System

Responsibilities

• You will lead a team of deep learning engineers leveraging technical and managerial skills to deliver high-impact results
• You will set the short and long term technical direction for the team and collaborate on the broader company-wide directions
• You will coordinate cross-functional initiatives with other teams across CAS, Systems Engineering, QA, and more
• 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

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
• 8+ years of experience in a related field

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