Machine Learning Data Engineer

Zeromatter Technologies Inc builds the data foundation that powers machine learning across its simulation platform. This role focuses on creating scalable infrastructure for training pipelines and multi-modal datasets, with strong ownership of production data systems. If you enjoy taking systems from concept to run at scale and partnering closely with ML engineers and researchers, this position offers the chance to directly improve dataset quality and model outcomes.

Responsibilities

• Build, operate, and scale the data infrastructure and tooling behind machine learning workflows.
• Own end-to-end data infrastructure at scale, including cataloging, batch pipelines, freshness management, quality assurance, and analytics.
• Design metadata, lineage, and search systems so engineers can find, trust, and understand datasets.
• Support data science and analytics teams to maintain high-quality, balanced, and representative datasets.
• Work hands-on with multi-modal data including text, images, video, point clouds, and geometry, with emphasis on 3D contexts and real-world data.
• Scope, build, and run new data systems in production, taking them from zero to one.
• Partner with ML engineers and researchers to understand data needs and continuously raise dataset quality.

Requirements

• 5+ years of experience building data and/or ML infrastructure as a senior engineer.
• Proven experience designing and operating scaled data systems, including batch processing, indexing, quality assurance, and analytics.
• Familiarity with multi-modal data such as text, images, video, point clouds, and 3D geometry.
• Experience working with data from vendors and custom collection hardware (for example, planes, drones, or ground vehicles).
• Comfort scoping ambiguous problems independently 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, including dataset curation, statistical analysis, and linking data quality to model performance.
• Model research or training experience, with hands-on experience training models and understanding their data needs.
• Background in robotics, autonomy, or simulation.

Location: Mountain View, CA (onsite)
Compensation: USD 100,000 - 300,000 per year