Machine Learning Data Engineer, Replica Pipelines
Parallel Domain
About this role
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.
Skills
Qualifications
About Parallel Domain
paralleldomain.comParallel 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.
Recent company news
Parallel Domain says autonomous driving won’t scale without synthetic data
Nov 16, 2022
Parallel Domain Raises $30 Million in Series B
Nov 21, 2022
Exclusive: Parallel Domain launches PD Replica for high-fidelity digital twins in autonomous vehicle testing
Jun 17, 2024
Parallel Domain Unveils Data Lab, a Self-Serve API for Synthetic Data Generation
Nov 13, 2025
Parallel Domain Wants to Create a Virtual World for Self-Driving Car Tests
May 1, 2018
About Parallel Domain
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
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Salary
$130k – $160k
per year