Senior Data Scientist - Data for Perception Machine Learning
@ ZooxSenior Data Scientist - Data for Perception Machine Learning
This job is still taking applications, but it's been up a while.
About the job
Zoox develops self-driving technology, focusing on perception models using vision, lidar, and multimodal data. The Senior Data Scientist role involves enhancing ML performance through data quality, analysis, and collaboration in a cutting-edge autonomous vehicle team.
Requirements
- Proficient SQL and Python skills
- Experience in data analysis and visualization
- Background in statistical modeling
- Experience with data-centric ML development
- Strong understanding of multimodal data
Qualifications
- Master's or PhD in relevant field
- Experience with data query languages
- Ability to analyze complex data
- Knowledge of autonomous driving
Full job description
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
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