Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python. You will rely on mathematical techniques from linear algebra, probability, and geometry to build these systems.
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems.
Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones.
Interact with remote machines via a Unix shell to deploy and test code on large-scale geospatial datasets, ultimately generating 3D content for our customers.
Use Git to manage source code and modularize complex implementation tasks into manageable, executable components.

Experience manipulating large 2D and 3D media datasets.
Implementation of core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python.
Use of mathematical techniques from linear algebra, probability, and geometry.
Experience applying cutting-edge research in machine learning and computer graphics.
Ability to work closely with cofounders to understand product vision and translate customer requirements into technical milestones.
Experience interacting with remote machines via a Unix shell for deployment and testing on large-scale geospatial datasets.
Proficiency in using Git for source code management and modularization of complex systems.

NBCUniversal is hiring a Staff Deep Learning Engineer - Ingénieur(e) principal(e) expert(e) en apprentissage profond (niveau Staff)