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Machine Learning Data Engineer

Zeromatter Technologies Inc Mountain View, California, United States · $100K–$300K/yr

Yesterday
Remote machine-learning Senior (5-10 yrs) Full-time United States
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About the role

You will build, operate, and scale the data infrastructure and tooling required for machine learning workflows. This includes managing end-to-end data pipelines, quality assurance, and metadata systems for multi-modal datasets.

What they look for

Data infrastructure Machine learning Batch processing Data pipelines Quality assurance Metadata management Data lineage Multi-modal data 3D geometry Point clouds Distributed data processing Data science Statistical analysis Robotics Autonomous systems Simulation

Requirements

Candidates must have 5+ years of experience in building data or machine learning infrastructure with a proven track record of operating scaled systems. Proficiency in handling multi-modal data and strong software engineering fundamentals are essential for this role.

Benefits

Medical insurance Dental insurance Vision insurance Equity Unlimited paid time off

Full description

As a Machine Learning Data Engineer at Zeromatter, you'll build and own the data foundation that powers machine learning across our simulation platform. You'll design scaled data infrastructure for training pipelines that turn massive multi-modal datasets — text, images, video, point clouds, and 3D geometry — into our next-generation models. This role offers the rare opportunity to shape how the world's most advanced robotics and autonomous systems learn.

Responsibilities

  • Build, operate, and scale the data infrastructure and tooling behind our machine learning workflows.
  • Own our data infrastructure end to end at scale: cataloguing, batch pipelines, freshness, quality assurance, and analytics.
  • Design the metadata, lineage, and search systems that let any engineer find, trust, and understand any dataset.
  • Maintain high-quality, balanced, and representative datasets by supporting data science and analytics.
  • Work hands-on with multi-modal data — text, images, video, point clouds, and geometry — with a strong emphasis on 3D contexts and real-world data.
  • Take new data systems from zero to one: scope them, build them, and run them in production.
  • Partner with ML engineers and researchers to understand model data needs and continuously raise the bar on dataset quality.

Qualifications

  • A senior engineer with 5+ years of experience building data and/or ML infrastructure.
  • A track record of designing and operating scaled data systems, including batch processing, indexing, quality assurance, and analytics.
  • Familiarity with multi-modal data (e.g. text, images, video, point clouds, 3d geometry).
  • Experience working with data from vendors and custom collection hardware (e.g., planes, drones, or ground vehicles).
  • Proven ability to go 0→1: you're comfortable with ambiguity, scoping problems yourself, and shipping systems from scratch in a fast-moving startup.
  • Strong software engineering fundamentals and fluency with modern distributed data processing tools.

Nice to Have

  • Deep data science skills: dataset curation, statistical analysis, and experience connecting data quality to model performance.
  • Model research or training experience — you've trained models yourself and understand what data they need.
  • Background in robotics, autonomy, or simulation.

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