NBCUniversal Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 4 days a week

Global Office Locations

Canada

Located in the heart of the Entertainment District in Toronto, Canada, our NBCUniversal office overlooks some of the most famous Toronto landmarks such as the CN Tower, Lake Ontario and the Rogers Center.

Recently posted jobs

19 Hours AgoSaved
Hybrid
Montréal, QC, CAN
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Leads lighting execution for a large-scale interactive project, creating mood, realism, readability, and visual storytelling across environments, gameplay, and cinematics. Manages and mentors lighting artists, collaborates with art, design, VFX, and technical teams, and ensures lighting meets artistic, technical, and performance requirements across high-end and mobile platforms. Supports production planning, quality validation, workflow efficiency, and risk visibility.
2 Days AgoSaved
Remote or Hybrid
Montréal, QC, CAN
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Leads production delivery for a large-scale AAA game pillar. Translates priorities into sprint plans, facilitates Scrum ceremonies, manages backlogs, risks, dependencies, milestones, and delivery visibility, and removes blockers across multiple multidisciplinary pods. Partners with Product Owners, pod leads, and craft directors to improve workflows, team health, communication, and accountability. Requires extensive game production experience, agile facilitation, and cross-team coordination.
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Develop reinforcement learning systems for autonomous agents by designing high-fidelity 2D/3D simulation environments, reward functions, and policy architectures. Implement and optimize algorithms such as PPO, SAC, and Offline RL for high-dimensional observations. Develop sim-to-real strategies using domain randomization and adaptation, collaborate with ML, annotation, and program management teams, and ensure reliable agent performance and environment parity.