Associate Deep Learning Engineer (AI)

TL;DR

Associate Deep Learning Engineer (AI): Implementing core algorithms at the intersection of computer vision and computer graphics to transform high-dimensional data into high-fidelity content with an accent on (inverse-)procedural modeling and deep learning. Focus on applying cutting-edge research to solve real-world geospatial data problems and scaling deployment on Unix-based systems.

Location: Onsite in Toronto, ON, Canada

Salary: CAD 125,000 - 150,000 yearly

Company

One of the world's leading media and entertainment companies, distributing world-class content across film, television, and streaming platforms.

What you will do

• Implement core deep-learning, computer vision, and procedural modeling algorithms using Python.
• Apply cutting-edge research in machine learning and computer graphics to solve real-world problems.
• Translate high-level product vision and customer requirements into technical milestones.
• Deploy and test code on large-scale geospatial datasets via Unix shell to generate 3D content.
• Manage source code and modularize complex implementation tasks using Git.

Requirements

• Bachelor's Degree in Data Science, Computer Science, or a related field.
• Proven experience as an Associate DL Engineer or Applied Research Engineer.
• Fluency with Python, Git, and the Unix shell.
• Experience training and debugging artificial neural networks or working with nonlinear optimization.
• Strong mathematical background in linear algebra, statistics, probability, and numerical methods.
• Must be available for in-person interviews at the Toronto location.

Nice to have

• Prior experience with modern C++ for data ingestion and product pipelines.
• Experience in robotics, smart grids, precision agriculture, game development, or aerospace.

Culture & Benefits

• Work in an early-stage startup environment within a major global corporation.
• Inclusive culture with a strong tradition of community service and giving back.
• Direct collaboration with the founding team to influence product direction.
• Opportunity to work with complex, high-dimensional 2D and 3D media datasets.