Zoox is seeking a Data Scientist for its Perception Verification and Validation team to develop datasets and key performance metrics for its autonomous driving perception stack. The role involves analyzing large-scale metric results to identify failure modes and designing statistical methods to quantify uncertainty. This is a hybrid role based in Boston, MA, with an annual salary range of $167,000 to $228,000.
- Remote scope
- Hybrid work in Boston, MA
- Compensation
- USD 167,000–228,000 / year
What you need
- Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field
- Proficiency in SQL and/or Spark/scala for building complex data queries at scale
- Python for building production-quality code
- Basic experience with autonomous driving, safety-critical systems, or computer vision systems
- Proficiency in exploratory data analysis (EDA) and data visualization
- Background in statistical modeling and analysis, including data-driven decision-making connecting point and uncertainty estimates to business impact
What you will own
- Define key performance metrics to help perception engineers measure the impact of new features on the perception stack and 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 and present results to leadership
- Design and implement statistical methods to quantify uncertainty in performance and validation metrics
Core skillsStatistical ModelingPythonSQLData VisualizationSpark/ScalaExploratory Data Analysis (EDA)Autonomous Driving SystemsComputer Vision Systems
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
Additional
About ZooxZoox 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.
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AccommodationsIf 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.
