Principal Machine Learning Engineer - Prediction

Zoox; Foster City (CA); On-site; USD 296,000 - 451,000; Full time

Job summary

An innovative firm is seeking a Principal ML Engineer to lead the development of cutting-edge machine learning algorithms that influence vehicle behavior. This role offers the opportunity to work at the intersection of autonomy and validation, collaborating with various teams to enhance safety and performance. You'll be responsible for developing new algorithms and mentoring fellow ML developers, while leveraging a large-scale machine learning infrastructure. If you have a passion for pushing the boundaries of technology in autonomous vehicles, this position is an exciting opportunity to make a significant impact on the future of mobility.

Benefits

Health Insurance

Paid Time Off

Life Insurance

Long-term Care Insurance

Short-term Disability Insurance

Amazon RSUs

Zoox Stock Appreciation Rights

Qualifications

• 10+ years of experience in machine learning and deep learning.
• Experience with training and deploying models in production.

Responsibilities

• Develop algorithms to model vehicle behavior and predict trajectories.
• Collaborate with teams to solve complex autonomous driving problems.

Skills

Deep Learning

Machine Learning

C++

Python

Algorithm Design

Mathematics

Education

BS in Computer Science

MS in Computer Science

PhD in Computer Science

Tools

Machine Learning Pipelines

Job description

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance.

As a Principal ML Engineer, you will lead the development of machine learning algorithms that can range from influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with teams specializing in Perception, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.

Responsibilities

• Develop new algorithms to model the future behavior of our own vehicle’s future actions, both in predicting our driving trajectories and estimating their quality in relation to our goals of safety, progress, and comfort.
• Build the foundation models for the on-vehicle and offline applications.
• Develop new algorithms to apply generative deep learning 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 Perception, 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.
• Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines.
• Fluency in C++ or Fluency in Python with a basic understanding of C++.
• Extensive experience with programming and algorithm design.
• Strong mathematics skills.
• 10+ years of experience.

Bonus Qualification

• Conference or Journal publications in Machine Learning or Robotics related venues.
• Prior experience with Prediction and/or autonomous vehicles or robotics in general.

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 $296,000-$451,000. 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.