Data Scientist - Perception Verification and Validation
Boston, MA
- Pay
USD 167,000–228,000/year — pay source
Salary 167,000 – 228,000 USD per year About Zoox
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDefine key performance metrics for measuring new perception features
Create and maintain datasets to evaluate perception and driving performance
Analyze large-scale metric results to find perception failure patterns
Present results and insights to leadership
Design statistical methods to quantify uncertainty in validation metrics
From the employer’s posting
Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance.
Analyze large scale metric results to identify patterns and insights about perception failure modes.
Present results and insights to leadership.
Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.
What you’ll bring
All qualificationsCore experience
- Master's or PhD in Statistics, Mathematics, Computer Science, or related field
- Proficient in SQL and/or Spark/Scala for large-scale queries
- Python for production-quality code
- Proficient in exploratory data analysis and data visualization
- Background in statistical modeling and analysis tied to business impact
Qualification wording
Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
Proficient using data query languages (SQL and/or Spark/scala)
using Python to build production-quality code
Proficient in exploratory data analysis (EDA) and data visualization
Background in statistical modeling and analysis
Education & alternatives
Qualifications - Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field - Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
Tools in this posting
- Python
- Scala
- SQL
- Spark
Source — Tool mentions in context
- Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field - Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code - Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
About Amazon
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Sep 10, 2026 · 50 days ago
- Recorded sightings
- 108
- Last seen by us
- Oct 30, 2026
- Reposted
- once since Aug 19, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
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Job description
We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior.
In this role, You will...
- Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior
- Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance.
- Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership.
- Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.
Qualifications
- Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
- Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
- Basic experience with autonomous driving, safety-critical systems, or computer vision systems.
- Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
- Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.
Bonus Qualifications
- Skilled at using AI tools to improve development efficiency and quality.
- Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
- Experience analyzing geospatial data
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
Salary
167,000 – 228,000 USD per year
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Employment type
Full-time
Source details
Source notes
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- Pay
Salary 167,000 – 228,000 USD per year About Zoox
- Location & working pattern
Boston, MA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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