Machine Learning Data Engineer

Zeromatter Technologies Inc; Mountain View (CA); On-site; USD 100,000 - 300,000; Full time

Job summary

Zeromatter Technologies Inc. in Mountain View, CA, is seeking a senior data/ML infrastructure engineer to build the data foundation for a cutting-edge simulation platform.

You will own end-to-end data systems, design metadata and data lineage, and scale pipelines handling text, images, video, point clouds, and 3D geometry. This role demands 5+ years of experience, strong software fundamentals, and an ability to ship in a fast-paced startup environment.

Qualifications

• 5+ years building data and/or ML infrastructure as a senior engineer.
• Experience designing and operating scaled data systems, including batch processing, indexing, quality assurance, and analytics.
• Familiarity with multi-modal data (text, images, video, point clouds, 3D geometry).
• Experience working with data from vendors and custom collection hardware (planes, drones, or ground vehicles).
• Comfort operating in ambiguity and shipping systems from scratch in a fast-moving startup environment.
• Strong software engineering fundamentals and fluency with modern distributed data processing tools.

Responsibilities

• Build, run, and scale data infrastructure and tooling for machine learning workflows.
• Own end-to-end data systems at scale, including cataloging, batch pipelines, freshness, quality assurance, and analytics.
• Design metadata, data lineage, and dataset search so engineers can find, trust, and understand datasets.
• Maintain high-quality, balanced, and representative datasets to support data science and analytics.
• Work hands-on with multi-modal datasets spanning text, images, video, point clouds, and geometry, with an emphasis on 3D contexts and real-world data.
• Take new data systems from 0 to 1: scope, build, and operate them in production.
• Partner with ML engineers and researchers to understand model data requirements and improve dataset quality over time.

Skills

Data infrastructure

ML data systems

Metadata & lineage

Dataset search

Multi-modal data

3D data & geometry

Data from vendors

Software engineering fundamentals

Distributed data processing tools

Job description

Mountain View, CA (onsite) role focused on building the data foundation for machine learning across a simulation platform.

Responsibilities

• Build, run, and scale data infrastructure and tooling for machine learning workflows.
• Own end-to-end data systems at scale, including cataloging, batch pipelines, freshness, quality assurance, and analytics.
• Design metadata, data lineage, and dataset search so engineers can find, trust, and understand datasets.
• Maintain high-quality, balanced, and representative datasets to support data science and analytics.
• Work hands-on with multi-modal datasets spanning text, images, video, point clouds, and geometry, with an emphasis on 3D contexts and real-world data.
• Take new data systems from 0 to 1: scope, build, and operate them in production.
• Partner with ML engineers and researchers to understand model data requirements and improve dataset quality over time.

Requirements

• 5+ years building data and/or machine learning infrastructure as a senior engineer.
• Experience designing and operating scaled data systems, including batch processing, indexing, quality assurance, and analytics.
• Familiarity with multi-modal data (examples: text, images, video, point clouds, 3D geometry).
• Experience working with data from vendors and custom collection hardware (examples: planes, drones, or ground vehicles).
• Comfort operating in ambiguity and scoping problems independently; ability to ship systems from scratch in a fast-moving startup environment.
• Strong software engineering fundamentals and fluency with modern distributed data processing tools.

Nice to Have

• Deep data science skills, including dataset curation, statistical analysis, and connecting data quality to model performance.
• Model research or training experience, including having trained models and understanding their data needs.
• Background in robotics, autonomy, or simulation.

Compensation

• USD 100,000 - 300,000 per year