Senior Data Scientist - Data for Perception Machine Learning

Responsibilities

• 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), analysis of human data (computational neuroscience, cognitive science), or related field
• Proficient using data query languages (SQL and/or Spark/Scala) to build complex, efficient data queries at scale and using Python for production-quality code
• Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and implications
• Background in statistical modeling and analysis; experience making data-driven decisions connecting 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)
• Experience with human data collection, including annotation task design