Autonomous Perception Data Scientist — Validation & Metrics

Zoox; Boston (MA); On-site; USD 167,000 - 228,000; Full time

Job summary

Zoox is seeking a highly skilled Data Scientist to join the Perception Verification and Validation team, focusing on verifying and validating the perception stack of our autonomous driving system. You will collaborate with data scientists, perception engineers, and systems engineers to develop datasets and metrics that quantify performance and measure feature impact on end-to-end behavior.

You will design statistical methods to quantify uncertainty, perform data visualization, and present

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, or a related field.
• Proficient using data query languages (SQL and/or Spark/scala) to build complex 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.
• Background in statistical modeling and analysis with data-driven decisions linking estimates to business impact.

Responsibilities

• 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.

Skills

Statistics

Data analysis

SQL

Python

EDA

Experiment design

Spark/Scala

Communication

Education

Master's or PhD in Statistics, Mathematics, Computer Science, or related field

Tools

Spark/Scala

Job description

Zoox is seeking a highly skilled Data Scientist to join the Perception Verification and Validation team, focusing on verifying and validating the perception stack of our autonomous driving system. You will collaborate with data scientists, perception engineers, and systems engineers to develop datasets and metrics that quantify performance and measure feature impact on end-to-end behavior.

You will design statistical methods to quantify uncertainty, perform data visualization, and present