Senior Data Scientist - Data for Perception Machine Learning

Benefits

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

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About this role

Senior Data Scientist - Data for Perception Machine Learning Boston, MA 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. 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

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