Remote Jobs RockRemote Jobs Rock

Data Scientist - Perception Verification and Validation

📅 Sep 9
PythonSQLSparkScala
Apply Now

📜 Description

  • Define metrics to measure new features’ impact on the perception stack and end-to-end system behavior.
  • Create and maintain datasets for evaluating perception and end-to-end driving performance.
  • Analyze large-scale metric results to identify perception failure patterns and present insights to leadership.
  • Design and implement statistical methods to quantify uncertainty in performance and validation metrics.

🛠️ Requirements

  • 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.
  • 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
Full 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.
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. Follow us on LinkedIn 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.

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
  • OpenAI

    Product Data Scientist - Youth, Families and Learning

    🕒 3 days ago
    OpenAI👥 10,000+ employees🏢 Research Services

    Drive product data science for youth, family, and learning experiences by identifying growth opportunities, defining meaningful measures of user value, and turning rigorous analysis into product strategy and decisions.

    SQLPythonStatistical AnalysisExperiment Design
    Trailmix Games

    Data Scientist - 12 Month Fixed Term Contract (London)

    🕒 3 days ago
    Trailmix Games👥 51 - 200 employees🏢 Computer Games

    Analyze player behavior and growth across mobile games, design experiments, build trusted data models and dashboards, and translate findings into clear recommendations that improve game and product decisions.

    SQLPythonApplied StatisticsSampling

    Trusted by Remote Workers