Senior Data Scientist Data for Perception Machine Learning

Zoox

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profile Job Location:

Boston, NH - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

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:

    • Masters 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
$190000 - $258000 a year
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance long-term care insurance long-term and short-term disability insurance and life insurance.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Senior IC

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 ...
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Key Skills

  • Databases
  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

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We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.

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