Research Scientist (3D Reconstruction)

Location: Hybrid in the Toronto GTA or New York

Compensation: CA$200K–CA$230K total wage range, plus potential equity

Company

hirify.global builds data infrastructure for robotics and embodied AI, including systems for data capture, labeling, and hardware-enabled workflows used to train and validate humanoid and embodied AI systems.

What you will do

• Architect, train, and scale neural reconstruction models for dense 3D geometry extraction across multi-GPU clusters.
• Build high-fidelity digital twins using techniques such as 3D Gaussian Splatting and NeRFs.
• Integrate reconstructed environments into robotics perception pipelines, world models, and sim-to-real training.
• Compress, optimize, and package large 3D scene representations for high-framerate client-facing viewers.
• Prototype methods for separating dynamic actors from static environments and integrating new hardware sensors.

Requirements

• Deep expertise in 3D computer vision, neural rendering, multi-view geometry, and spatial modeling.
• Experience training and scaling large 3D vision models from scratch with PyTorch and multi-terabyte datasets.
• Experience writing custom CUDA kernels for 3D operations, ray marching, or rasterization.
• Ability to work in a hybrid role based in the Toronto GTA or New York.

Nice to have

• First-author publications at CVPR, ICCV, ECCV, or similar top-tier venues in 3D deep learning, neural rendering, or spatial transformers.
• Public projects involving WebGL, custom rendering engines, or optimization of splats for interactive viewing.

Culture & Benefits

• Access to proprietary spatial and temporal ground-truth data at significant scale.
• Opportunity to develop spatial models and environmental reconstructions for embodied AI systems.
• Equity may be included in the total rewards package.
• Inclusive hiring practices and interview accommodations are available.