---
title: 'Machine Learning Engineer - Vision Foundation Models at Zoox'
canonical: 'https://feeny.ai/job/machine-learning-engineer-vision-foundation-models-zoox-foster-city-qbpwdz2b872c'
type: 'job'
last_seen: '2026-11-03'
---

# Machine Learning Engineer - Vision Foundation Models at Zoox

- **Company:** Zoox
- **Location:** Foster City, CA
- **Compensation:** $254k–$305k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-11-03
- **Apply:** https://jobs.lever.co/zoox/06f146c2-25f6-40fd-8393-4f92ce518929

## Job description

The Perception team at Zoox is responsible for how our purpose-built robotaxi understands the world, including what happens inside the cabin. In this role, you will design, train, and evaluate vision-based in-cabin perception models that understand passengers, objects, and behaviors inside the vehicle. These models support rider safety and the operations that keep each ride running smoothly.

You will independently own a model area end to end, from data curation and training through evaluation and deployment under real-time and compute constraints, working closely with partners across the company. Your work has a direct impact on rider safety and experience as Zoox scales its robotaxi service.

In this role, you will...

- Design, train, and evaluate vision models that understand passengers, objects, and behaviors inside the vehicle, across detection, pose, and action recognition.

- Independently own a model or feature area end to end: curate data, define labeling guidelines, train and evaluate models, and take them through deployment.

- Set the quality bar for the models you own, using rigorous evaluation and error analysis so they are reliable enough to support live operations.

- Deploy models under real-time and compute constraints shared with the rest of the onboard perception system.

- Partner across product, operations, safety, and vehicle software to turn requirements into model specifications, metrics, and validation plans.

## Qualifications

- MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field with 6+ years of industry experience (PhD with 3+ years).

- Deep expertise in computer vision and deep learning for image and video understanding: object detection, pose and action recognition, and fine-grained classification, with hands-on experience with modern architectures (convolutional and vision-transformer detectors, and self-supervised or foundation-model backbones such as DINOv3).

- Strong proficiency in Python and PyTorch for model design, training, and evaluation.

- Experience with vision-language models or foundation-model backbones, and with auto-labeling or synthetic data for long-tail and rare classes.

- Track record of owning the full ML lifecycle on real-world data: dataset curation and labeling guidelines, training, metric design (precision, recall, and false-positive rate at an operating point), and error analysis.

Bonus Qualifications

- Experience with in-cabin or occupant monitoring (occupant or driver monitoring systems), ideally including multi-camera or fisheye imagery and low-light conditions.

- Experience deploying deep learning models to real-time, resource-constrained systems (robotics, automotive, or edge devices) with TensorRT / ONNX or similar.

- Proficiency in C++ for model integration.

## 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

- [Team Lead, Vehicle Technicians](https://feeny.ai/job/team-lead-vehicle-technicians-zoox-san-francisco-fm78xhnkbtvc) — San Francisco, CA
- [Human Resources Generalist](https://feeny.ai/job/human-resources-generalist-zoox-foster-city-94tbpn6kg9b8) — Foster City, CA
- [Manufacturing Test Infrastructure Engineer](https://feeny.ai/job/manufacturing-test-infrastructure-engineer-zoox-foster-city-eq18925fgss3) — Foster City, CA
- [Staff Systems Engineer, Simulation Systems Verification and Validation Lead](https://feeny.ai/job/staff-systems-engineer-simulation-systems-verification-and-validation-lead-zoox-mtbxccfhzzjf) — Foster City, CA
- [Systems Engineer, Motion Controls Safety](https://feeny.ai/job/systems-engineer-motion-controls-safety-zoox-foster-city-r02y5xhnw15v) — Foster City, CA
- [Senior Software Engineer, C++ Vehicle Experience](https://feeny.ai/job/senior-software-engineer-c-vehicle-experience-zoox-foster-city-nvkjvt6wekm9) — Foster City, CA
- [Senior/Staff Technical Product Manager, Operational Design Domain (ODD) Tools](https://feeny.ai/job/senior-staff-technical-product-manager-operational-design-domain-odd-tools-zoox-ssjgcn6rpzze) — Foster City, CA
- [Head of Contingent Workforce & Travel](https://feeny.ai/job/head-of-contingent-workforce-travel-zoox-foster-city-rkcgbt6b81v8) — Foster City, CA
- [Mechatronics Engineer - Closures](https://feeny.ai/job/mechatronics-engineer-closures-zoox-foster-city-68m3dz5tmx0t) — Foster City, CA
- [Contract Student Worker - Software Engineer (40 hrs/wk)](https://feeny.ai/job/contract-student-worker-software-engineer-40-hrs-wk-zoox-foster-city-3zs433c2yzqp) — Foster City, CA