Deep Learning Engineer at NBCUniversal implementing algorithms in computer vision and graphics. Transforming high dimensional data into high-fidelity content using advanced techniques.
Responsibilities
Implement core deep-learning, computer vision, and (inverse-)procedural modeling algorithms in Python
Apply cutting-edge research in machine learning and computer graphics to solve real-world problems
Work closely with 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
Use Git to manage source code and modularize complex implementation tasks into manageable, executable components
Requirements
Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of relevant industry experience in a fast paced, high growth tech environment
Proven experience as a DL Engineer or Applied Research Engineer in a fast-paced environment
Fluency with Python, Git, and the Unix shell
Proven experience training and debugging artificial neural networks or adjacent experience
A strong mathematical background covering linear algebra, statistics, probability, and numerical methods
Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.
Effective collaboration and the ability to work closely with a founding team.
High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.
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