Senior Staff Machine Learning Engineer - Perception
Job Summary
Job Description
Our Perception team is responsible for utilizing sensor data to understand complex and dynamic environments for autonomous driving. You will have access to world-class sensor data and infrastructure for algorithm testing and validation. The role involves creating new algorithms for segmentation, tracking, classification, and scene understanding. As a Principal ML Engineer, you will lead the development of machine learning algorithms impacting onboard and offboard autonomy, and validation. Collaboration with Prediction, Planning, Simulation, and Safety Validation teams is key to influencing the technical stack. You will prototype new approaches that shape the long-term technical direction of multiple organizations, with impact ranging from immediate company milestones to forward-looking exploratory projects.
Must have:
- Develop new algorithms for scene understanding and prediction.
- Build multi-modal foundation models.
- Develop generative AI algorithms for simulation realism.
- Leverage ML infrastructure for solutions.
- Provide technical mentorship to ML developers.
- Collaborate with Prediction, Planning, and Simulation teams.
- BS, MS, or PhD in computer science or related field.
- Experience training/deploying Deep Learning models on sensor data.
- Experience with production ML pipelines.
- Experience with modern computer vision techniques.
- Strong mathematical and probabilistic skills.
- Fluency in C++ or Python with basic C++ understanding.
- Extensive programming and algorithm design experience.
Good to have:
- Publications in relevant fields (CVPR, ICCV, RSS, ICRA).
- Experience with autonomous robots.
- Experience with real-time sensor fusion.
- Experience with novel CNN pipelines and architectures.
- Experience with 3D data and representations.
Perks:
- Amazon Restricted Stock Units (RSUs)
- Zoox Stock Appreciation Rights
- Sign-on bonus may be offered
- 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
7 skills required
Job Details
Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.
As a Principal ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, 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 understand the scene around the robot, and how that scene would evolve through time
- Build multi-modal foundation models for on-vehicle and offline applications
- Develop new algorithms to apply generative AI 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 Prediction, 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 on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern computer vision techniques
- Strong mathematical skills and understanding of probabilistic techniques
- 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
- Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
- Experience with autonomous robots
- Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
- Experience with novel pipelines and architectures for convolutional neural nets
- Experience with 3D data and representations (pointclouds, meshes, etc.)
$308,000 - $447,000 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.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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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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