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Machine Learning Engineer - Perception Offline Driving Intelligence

Zoox

Machine Learning Engineer - Perception Offline Driving Intelligence

Zoox

Boston, MA

·

On-site

·

Full-time

·

1mo ago

The Offline Driving Intelligence (ODIN) team at Zoox is leveraging the latest in AI to craft algorithms that understand the world. We leverage large models first offline and we devise a path of impact into our self-driving robot, enabling safe and efficient navigation in complex environments.

As an engineer in the ODIN team, you will develop advanced multimodal large language models that enhance environmental understanding. You'll develop and fine-tune these models for off-vehicle analysis while working with the onboard team to deliver impact in our robotaxi platform, ensuring they can efficiently identify hazards and interpret driving restrictions with minimal latency. Working alongside world-class engineers and researchers, you'll leverage premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions, directly impacting productivity, safety and the capability of Zoox's autonomous system.

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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

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

Senior/L5

Intern

Mid/L4 · Data Scientist

2 reports

$252,794

total per year

Base

$194,457

Stock

-

Bonus

-

$249,600

$256,188

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