Senior / Staff Software Engineer - Learned Trajectory Machine Learning Engineer

Zoox; Foster City (CA); On-site; USD 230,000 - 332,000; Full time

Benefits offered by this job

Paid time off (e.g. sick leave, vacation)

Health insurance

Life insurance

Zoox Stock Appreciation Rights

Amazon RSUs

Job summary

I did my part and supported the Regular Toilet is seeking a Learned Trajectory Machine Learning Engineer in Foster City, California. This role focuses on developing deep learned models for vehicle trajectories, leveraging machine learning to improve driving behavior and performance.

The successful candidate will collaborate closely with the Planner and Perception teams, ensuring safety and comfort in autonomous driving. A comprehensive benefits package, including salary ranging from $230,000 to $332,000, is offered.

Qualifications

• Experience with training and deploying transformer-based model architectures.
• Extensive experience with programming and algorithm design.
• Experience with dataset creation and metrics pipelines.

Responsibilities

• Develop new deep learning models for generating driving plans.
• Collaborate with engineers to solve complex urban driving problems.
• Develop metrics and tools to analyze errors in systems.

Skills

C++

Python

Deep learning models

Imitation learning

Reinforcement learning

Machine Learning pipelines

Algorithm design

Strong mathematics skills

Education

BS, MS, or PhD in computer science or related field

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 Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior.

In this role, you will:

• You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc.
• You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
• You will develop metrics and tools to analyze errors and understand improvements of our systems
• You will 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 transformer-based model architectures and reinforcement learning
• 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

Bonus Qualifications

• 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$230,000 to $332,000. 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.