Parallel Domain

Senior Machine Learning Engineer, Diffusion & Reconstruction

Parallel Domain(22 days ago)

HybridFull TimeSenior$150,000 - $180,000Engineering
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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.

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Required Skills

  • Machine Learning
  • Computer Vision
  • 3D Reconstruction
  • Diffusion Models
  • Video Diffusion
  • PyTorch
  • Deep Learning
  • Model Optimization
  • Scalable Pipelines
  • Production ML

+3 more

Qualifications

  • MS in Machine Learning
  • PhD 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.

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