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Voxel

Senior Software Engineer, ML Data

Voxel

. Drive the roadmap for the data infrastructure that powers Voxel's vision and ML capabilities.

Posted 5/5/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $200,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Drive the roadmap for the data infrastructure that powers Voxel's vision and ML capabilities.
  • Build petabyte-scale pipelines for ingestion, search, labeling, versioning and storage of camera data.
  • Develop methods for data mining and automated data collection.
  • Partner with applied ML engineers on dataset quality for training and evaluation.
  • Collaborate with the Data Ops team (HITL) to design processes to measure and improve data quality.
  • Understand the data needs of Vision and AI engineers and design scalable infra solutions that support model improvement and vision capabilities.
  • Collaborate with the Platform team to store and retrieve data efficiently on the cloud.

Requirements

What you’ll need
  • 4+ years of experience building and shipping large scale software solutions.
  • Working knowledge of ML training and evaluation. Understand what makes a good dataset, how to measure model quality, and how data quality affects model performance.
  • Strong Python. Comfortable across the stack: data mining, data labeling, storage and retrieval.
  • Track record of owning something end to end: building data products valuable to internal customers.
  • Bias toward shipping. You'd rather ship something good this week than something perfect next quarter.
  • Strong communication skills.
  • Experience with implementing data compliance & data governance solutions (nice to have).
  • Deep understanding of data for computer vision - object detection, tracking, video understanding (nice to have).
  • Familiarity with human in the loop data annotation, auto labeling (nice to have).

Benefits

Comp & perks
  • Equity through Voxel’s Equity Incentive Plan
  • Total compensation includes base salary, annual bonus, and equity
  • Comprehensive health, dental, and vision insurance
  • Competitive paid parental leave
  • Unlimited PTO and flexible work arrangements
  • Daily meals in-office, team events, annual company onsite

ATS Keywords

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Hard Skills & Tools
Pythondata miningdata labelingdata storagedata retrievalML trainingML evaluationdata compliancedata governancecomputer vision
Soft Skills
strong communicationownershipbias toward shipping