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Zoox
Zoox

Provide mobility as a service.

Software Engineer, ML Core

RoleEngineering
LevelMid Level
LocationFoster City, Canada, United States
WorkOn-site
TypeFull-time
Posted2 months ago
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Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and AI to make autonomous driving as seamless as possible.

The Opportunity:

  • Would you like to enable ML use cases like autonomous driving, scene understanding, and automated mapping at Zoox? This role works across all ML teams within Zoox
  • Perception, Behavior ML, Simulation, Data Science, Collision Avoidance, as well as with our Advanced Hardware Engineering group specifying our next generation of autonomous hardware. You will significantly push the boundaries of how ML is practiced within Zoox.

We build and operate the base layer of ML tools, deep learning frameworks, inference libraries, and ML infrastructure used by our applied research teams for in- and off-vehicle ML use cases. We coordinate across all of Zoox to make sure that the needs of both the vehicle and ML teams are met. You will play a crucial role in reducing the time it takes from ideation to productionization of cutting-edge AI innovation. This team has a lot of growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here.

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About Zoox

Zoox

Zoox

Acquired

Provide mobility as a service.

501-1,000

Employees

Foster City

Headquarters

$1.3B

Valuation

Reviews

10 reviews

3.7

10 reviews

Work-life balance

2.5

Compensation

3.8

Culture

4.0

Career

3.2

Management

2.8

65%

Recommend to a friend

Pros

Innovative and cutting-edge technology projects

Supportive and collaborative team environment

Good compensation and benefits

Cons

Fast-paced work environment

Poor work-life balance and long hours

High stress levels and workload

Salary Ranges

139 data points

Mid/L4

Mid/L4 · Business Intelligence Engineer

1 reports

$206,034

total per year

Base

$158,642

Stock

-

Bonus

-

$206,034

$206,034

Interview experience

3 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Final Interview Rounds

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Machine Learning Concepts

Data Analysis