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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 CV to make autonomous driving as seamless as possible.
The Opportunity:
- Would you like to be part of the ML Training and Inference Infrastructure team that enables autonomous driving and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox
- Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and our Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox.
We build and operate the base layer of ML tools, deep learning frameworks, and inference libraries used by our applied research teams for in- and off-vehicle ML use cases. 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
AcquiredProvide 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
News & Buzz
Zoox robotaxi under SFPD probe after door collision - The Tech Buzz
Source: The Tech Buzz
News
·
5w ago
San Francisco Police Investigate Zoox Autonomous Vehicle Incident - Букви
Source: Букви
News
·
5w ago
Exclusive: San Francisco Police Department investigating Zoox collision with a parked car - TechCrunch
Source: TechCrunch
News
·
5w ago
Man says he was hurt by a Zoox in S.F., but robotaxi company calls contact ‘unavoidable’ - San Francisco Chronicle
Source: San Francisco Chronicle
News
·
7w ago