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Zoox

Posted 3 months ago

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Senior Data Scientist - Data for Perception Machine Learning

BostonOn-siteFull-time

AI Summary

Senior data scientist focusing on data-centric ML for multimodal perception data, building and evaluating labeling pipelines, data quality measures, and data curation to improve model performance.

About this role

We are seeking an experienced and highly skilled data scientist to join the Perception Data and Labeling team.. The team is responsible for training and evaluation data powering the perception (vision, lidar, and other modalities) ML models at Zoox. The candidate will work alongside data ops partners, ML engineers, software developers, and data engineers to improve model performance through high quality human- and auto-labeled data.

In this role, you will:

  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Drive data-centric ML model improvements to achieve critical Zoox milestones
  • Support an org-wide data ontology and class structure for perception models
  • Determine trade-offs and integrations between human-labeled, human-in-the-loop, and zero-shot autolabeled data
  • Build metrics to quantify labeling throughput, capacity, and annotator/vendor quality

    • Qualifications:

  • Master's or PhD degree in a field relevant to autonomous driving (computer science, robotics) to the analysis of human data (computational neuroscience, cognitive 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
  • 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.
  • Experience with data-centric ML development and data curation

    • Bonus Qualifications:

  • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.)
  • Experience with human data collection, including annotation task design

    • Skills

    A/b TestingAnnotator/vendor QualityCapacity MetricsClass StructureData-centric MLData CurationData QueryingData VisualizationEDAExperimental DesignLabeling PipelinesMultimodal DataOntology DevelopmentPerception DataProduction-quality CodePythonScalaSparkSQLStatistical ModelingThroughput Metrics

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