Parallel Domain

Senior Machine Learning Engineer, Diffusion & Reconstruction

Parallel Domain

2 months ago
Vancouver, British Columbia, Canada
Hybrid
Full Time
Senior
1 applicant
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Parallel Domain
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About this role

Parallel Domain is developing a simulation and digital twin platform focused on autonomy, robotics, and computer vision, with its Replica product creating large-scale photorealistic digital twins of real-world environments. This role supports advancing learned reconstruction capabilities that power Replica’s spatial AI and autonomous-systems development workflows. The position is available in Vancouver, BC and Karlsruhe, Germany.

Skills

Qualifications

MS in Machine LearningPhD in Machine Learning
Parallel Domain

About Parallel Domain

paralleldomain.com

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.

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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