Senior/Staff Machine Learning Engineer - Prediction

Key Skills

AI Robotic systems, Algorithms, Autonomous vehicles, C++, Deep Learning, Design, Machine learning techniques, Mathematica, Python Programming

Job Description

The Prediction team is responsible for forecasting the future states of all the dynamic agents around our vehicle. To account for the inherent uncertainty of predicting the future, our job is to compute a probabilistic representation over the intentions and movements of other agents. Our probabilistic predictions are then tightly integrated into our Planning system to deliver a safe and comfortable ride.

Responsibilities

• Develop new algorithms to model and recognize the future behavior of all other agents 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 Perception and Planning 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

Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.