Machine Learning Engineer - Prediction and Planning
Job Summary
Job Description
The Offline Driving Intelligence team develops Foundation Models for prediction and planning, applying them both off-vehicle for ML capabilities in simulation and validation, and on-vehicle to influence driving models. This role involves developing novel machine learning pipelines and models to predict the behavior of other agents and plan the ego vehicle's course of action. Responsibilities include developing deep learning models using imitation learning and reinforcement learning for driving plans, contributing to large-scale ML infrastructure, developing metrics and tools for error analysis, and collaborating with Perception, Planning, and Simulation engineers.
Must have:
- MS, or PhD degree in computer science or related field
- Experience with transformer-based model architectures
- Experience with reinforcement learning techniques
- Experience with production Machine Learning pipelines
- Fluency in C++ or Python with basic C++ understanding
- Extensive experience with programming and algorithm design
Good to have:
- Strong mathematics skills
- Prior experience with Prediction/Planning for autonomous vehicles/robotics
- Conference or Journal publications in ML or Robotics venues
Perks:
- Amazon Restricted Stock Units (RSUs)
- Zoox Stock Appreciation Rights
- Sign-on bonus
- Paid time off (sick leave, vacation, bereavement)
- Unpaid time off
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
5 skills required
Job Details
The Offline Driving Intelligence team is responsible for developing Foundation Models for prediction and planning, applying them both off-vehicle to provide ML capabilities to simulation and validation and on-vehicle to influence driving models. 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 Prediction and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle.
In this role, 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 novel techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort, compliance.
- Contribute to our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field
- Develop metrics and tools to analyze errors and understand improvements of our systems
- Collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments
Qualifications:
- MS, or PhD degree in computer science or related field with 5 or more years of industry experience
- Experience with training and deploying transformer-based model architectures and reinforcement learning techniques
- 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
Bonus Qualifications:
- Strong mathematics skills
- Prior experience with Prediction and/or Planning for autonomous vehicles or robotics
- Conference or Journal publications in Machine Learning or Robotics related venues
$204,000 - $245,000 a year
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
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.
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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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