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Software Engineer, ML Platform (ML Serving)

Zoox

Software Engineer, ML Platform (ML Serving)

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

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 for enabling 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

Reviews

3.6

4 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Good project ownership opportunities

Competitive compensation compared to peers

Networking opportunities

Cons

Potential retaliation against negative reviews

Company described as 'super shady'

Lack of transparency

Salary Ranges

497 data points

Mid/L4

Mid/L4 · Business Intelligence Engineer

1 reports

$206,034

total / year

Base

$158,642

Stock

-

Bonus

-

$206,034

$206,034

Interview Experience

6 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

50%

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Technical Screen/Interview

4

Manager/Final Round Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Machine Learning/Data Science