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Parallel Domain
Parallel Domain is seeking a Machine Learning Data Engineer to help power its Replica product, a photorealistic digital-twin platform used to test and develop autonomous systems. The role focuses on enabling efficient, reliable movement of customer and synthetic data into structured datasets that support ML model development. This position is based in Vancouver, BC or Karlsruhe, Germany.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2017
Parallel Domain builds photoreal virtual environments and large-scale synthetic datasets to train and validate computer vision and autonomous systems. Their platform generates configurable scenes and multimodal sensor outputs (camera, LiDAR, radar) with automated, ground-truth annotations and domain randomization to create rare or hazardous scenarios at scale. Customers use Parallel Domain to reduce manual labeling, accelerate model training and validation, and close the simulation-to-reality gap for autonomous vehicles, robotics, and mapping. The solution integrates with ML workflows to support production and research dataset generation.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Parallel Domain.
Parallel Domain Unveils Data Lab, a Self-Serve API for Synthetic Data Generation
Nov 13, 2025
