
Provide mobility as a service.
Senior Staff Machine Learning Engineer - Perception
Required skills
Machine Learning
Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components.
As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.
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About Zoox

Zoox
AcquiredProvide 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
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
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