---
title: 'Senior Staff Machine Learning Engineer - Perception at Zoox'
canonical: 'https://feeny.ai/job/senior-staff-machine-learning-engineer-perception-zoox-boston-pprfvfkcq522'
type: 'job'
last_seen: '2026-10-13'
---

# Senior Staff Machine Learning Engineer - Perception at Zoox

- **Company:** Zoox
- **Location:** Boston, MA
- **Compensation:** $277k–$389k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2024-11-12
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.lever.co/zoox/1ff0f89b-77ec-4e86-927e-7098c377581f

## Job description

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 Senior Staff 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.)

## 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.

Follow us on LinkedIn

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.

## About Zoox

## Company Overview
- **One-liner**: Zoox is building a fully autonomous, all-electric, purpose-built robotaxi service to give the world a better way to ride.
- **Entity Type**: Private (independent subsidiary of Amazon, acquired in 2020)
- **Headquarters**: Foster City, California, USA (with offices in Las Vegas, San Francisco, Austin, Miami, Atlanta, Los Angeles)
- **Founded**: 2014
- **Founders**: Not specified in provided sources

## Core Business
- **Primary industry**: Autonomous ride‑hailing / Self‑driving electric vehicles
- **Target customers**: B2C – individual riders seeking safe, convenient, and sustainable urban transportation
- **Mission**: “Give the world a better way to ride” – providing safer, cleaner, autonomous ride‑hailing for everyone [zoox.com](https://zoox.com/about)

## Products & Services
- **Zoox Robotaxi**: A purpose‑built, fully autonomous electric vehicle designed from the ground up for ride‑hailing. Features bidirectional driving, four‑wheel steering, and no steering wheel or pedals. The service handles all charging, maintenance, and fleet management – riders simply get in and enjoy the ride [zoox.com](https://zoox.com).

## Market Standing
- **Valuation / Market Cap**: Not disclosed (Zoox is a private subsidiary of Amazon)
- **Key Metric**: Not publicly available (revenue and funding details are not reported as a stand‑alone entity)
- **Notable Investors / Partners**: Amazon (parent company)
- **Growth Signals**:
  - Received authorization from the Nevada DMV to operate robotaxis on public roads [zoox.com/about](https://zoox.com/about)
  - Expanded testing and operations to Las Vegas, Seattle, San Francisco, and other cities
  - Continues to scale its engineering and operations teams (multiple open roles on the careers page as of 2026)

## Competitive Advantages
- **Purpose‑built design**: Unlike retrofitted vehicles, Zoox’s robotaxi is designed from scratch for autonomous ride‑hailing (symmetrical, bidirectional, four‑wheel steering, no driver controls)
- **Amazon backing**: Deep financial resources, supply chain expertise, and cloud infrastructure (AWS) support rapid development and scaling
- **Full‑stack autonomy**: In‑house AI, computer vision, and sensing stack integrated directly into the vehicle design
- **Safety‑first approach**: Comprehensive testing, safety‑critical system design, and focus on public road validation

## Strategic Focus
- Achieving commercial launch of the Zoox ride‑hailing service in select U.S. cities
- Continuing to mature the autonomous driving system through real‑world testing and simulation
- Expanding the “Go‑to‑Market” strategy and building out operations teams (see CRM Lead, Go‑to‑Market Manager roles) [jobs.lever.co/zoox](https://jobs.lever.co/zoox)
- Scaling manufacturing and prototyping to prepare for fleet deployment

## Why Work Here
- **Culture**: Diverse, supportive community with inclusion‑focused strategy. Crew‑led groups for personal and professional development. Emphasis on trust, humility, and openness [zoox.com/careers](https://zoox.com/careers)
- **Work environment**: Hybrid? The careers page lists many roles as “On‑site” in Foster City, CA, with other office locations available. In‑office perks include a famous food program with daily changing local and sustainable dishes, plus a busy calendar of events and sports teams.
- **Benefits**: Comprehensive health plans (Cigna), mental health support, wellbeing program, flexible time off, generous family planning and caregiver support, and a commitment to work‑life balance.
- **Growth opportunities**: Work on cutting‑edge autonomous vehicle technology alongside some of the brightest minds in AI, engineering, computer vision, and more. Offers internships and re‑entry programs (via Path Forward) for career returners.
- **Recruitment process**: Uses AI tools to assist in reviewing applications but final decisions are human. No fees are charged at any stage – watch for recruitment scams [zoox.com/journal/landing-a-job-zoox](https://zoox.com/journal/landing-a-job-zoox)

## Sources
1. [Zoox official website](https://zoox.com)
2. [Zoox About page](https://zoox.com/about)
3. [Zoox Careers page](https://zoox.com/careers)
4. [Zoox job openings on Lever](https://jobs.lever.co/zoox)
5. [Zoox hiring and interview process](https://zoox.com/journal/landing-a-job-zoox)

## Other roles at Zoox

- [Senior / Staff Machine Learning Engineer - 3D Sensor Simulation](https://feeny.ai/job/senior-staff-machine-learning-engineer-3d-sensor-simulation-zoox-foster-city-gnyztn05dgar) — Foster City, CA
- [Machine Learning Engineer - 3D Sensor Simulation](https://feeny.ai/job/machine-learning-engineer-3d-sensor-simulation-zoox-foster-city-w7g0mxmym2ck) — Foster City, CA
- [Shift Lead, Fusion Center Analysts](https://feeny.ai/job/shift-lead-fusion-center-analysts-zoox-las-vegas-gc3z001xedfn) — Las Vegas, NV
- [Seating and Passive Safety HW Validation Engineer](https://feeny.ai/job/seating-and-passive-safety-hw-validation-engineer-zoox-foster-city-tjcxasj8k41y) — Foster City, CA
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