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About the role

  • 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.

Benefits

  • Health insurance
  • Paid time off
  • Flexible work arrangements
  • Professional development

Job type

Full Time

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

PythonUnix

Location requirements

RemoteCanada

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