Tubi - Canada

Director, ML Engineering & Infrastructure

Toronto, Canada (Hybrid) · Director · Full-time

Sponsorship not specified$188k-$269kDetected 81 days ago

Distributed SystemsDatabricksAWSMachine LearningDeep LearningTensorFlowPyTorchA/B TestingLeadershipCommunicationCollaboration

About the role

With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming.
This is a hybrid role for our Toronto office.
Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization.

Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth.
Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving.
Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence.
Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences.
Support best practices in experimentation, evaluation, and ML system monitoring.
3+ years of leadership and management experience, with a proven ability to build and lead strong technical teams.
Proven expertise in building and deploying end-to-end ML systems at scale, including recommendation and personalization systems.

Excellent communication skills and ability to influence product and technical strategy.

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.

For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters.
For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.
10+ years of industry experience spanning machine learning engineering and distributed systems.
MSc or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent practical experience.
Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and ML infrastructure technologies.

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users.
Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans.
Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law.
We will consider for employment qualified applicants with criminal histories consistent with applicable law.

This listing is sourced directly from Tubi - Canada's careers page and normalized into a canonical job model.