Deep Learning Engineer
Core
Implementing core deep-learning, computer vision, and (inverse-)procedural modeling algorithms to transform high-dimensional 2D/3D media datasets into high-fidelity 3D content.
Role type
Deep Learning Engineer (Computer Vision & Graphics)
Builds
High-fidelity 3D content from large-scale geospatial datasets
Domain
Computer Vision, Computer Graphics, Geospatial Data
Deliverable
production ML models
Required skills
Deep learning, Computer vision, (Inverse-)procedural modeling, Python, Linear algebra, Probability theory, Geometry, Git, Unix shell scripting
Preferred skills
N/A
Technologies
Python, Git, Unix shell
Responsibilities
Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms; Apply cutting-edge research in machine learning and computer graphics to solve real-world problems; Work with cofounders to translate customer requirements into technical milestones; Deploy and test code on large-scale geospatial datasets via Unix shell; Manage source code and modularize complex implementation tasks using Git.
