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NBCUniversal

Associate Deep Learning Engineer

Posted 4 Hours Ago
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Remote or Hybrid
Hiring Remotely in Toronto, ON
Junior
Remote or Hybrid
Hiring Remotely in Toronto, ON
Junior
Implement deep-learning, computer vision, and inverse-procedural modeling algorithms in Python to convert large 2D/3D and geospatial datasets into high-fidelity 3D content. Apply state-of-the-art ML and graphics research, deploy and test code on remote machines, and collaborate with founders to translate product vision into technical milestones while maintaining code via Git.
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Company Description
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job Description
We are seeking an Associate Deep Learning Engineer with experience manipulating large 2D and 3D media datasets. In this role, you will implement core algorithms that sit at the intersection of computer vision and computer graphics, helping us turn high dimensional data into high-fidelity content.
Key Responsibilities
  • Algorithm Implementation: 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.
  • Applied Research: Apply cutting-edge research in machine learning and computer graphics to solve real-world problems.
  • Cross-Functional Coordination: Work closely with our cofounders to understand high-level product vision and translate customer requirements into technical milestones.
  • Scaling & Deployment: 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.
  • Code Management: Use Git to manage source code and modularize complex implementation tasks into manageable, executable components.

Qualifications
Basic Qualifications
  • Education: Bachelor's Degree in Data Science, Computer Science, or a related field (or equivalent deep technical experience).
  • Professional Experience: Proven experience as a Associate DL Engineer or Applied Research Engineer in a fast-paced environment.
  • Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace is highly valued.
  • Technical Proficiency:
    • Core Stack: Fluency with Python, Git, and the Unix shell.
    • ML Experience: Proven experience training and debugging artificial neural networks or adjacent experience (e.g., gradient descent, nonlinear optimization, or classical machine learning).
    • Math Foundations: A strong mathematical background covering linear algebra, statistics, probability, and numerical methods.

Desired Characteristics
  • Communication: Effective collaboration and the ability to work closely with a founding team.
  • Execution: High attention to detail and the ability to meet key R&D milestones in an early-stage startup environment.
  • Preferred prior experience with modern C++ to interface with data ingestion and product pipelines.

This position reflects a current vacancy within the team.
Salary Range: CAD 125,000 to CAD 150,000 annually
NBCUniversal may use AI-based tools to assist in screening and assessing applications for this position. These tools may help us identify candidates whose skills and experiences align with our objectives by analyzing information provided in resumes and applications. Our use of AI does not replace human decision-making.
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

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