Tubi - Canada

Director, ML Engineering

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

Sponsorship not specified$273k-$417kDetected 20 days ago

Full-Stack DevelopmentAlgorithmsMachine LearningDeep LearningTensorFlowPyTorchStatisticsA/B TestingLeadershipCommunication

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.

Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration.
Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems.
Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving.
Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and deliver high-quality user experiences.
Partner closely with Product, Engineering, and Content teams to align on requirements, set expectations, and deliver ML-driven solutions that improve user engagement.
3+ years of leadership and management experience, with a proven ability to build and lead strong technical teams while remaining technically hands-on.

Proficiency in building and deploying full-stack ML pipelines: data extraction, data mining, feature development, model training, testing, and deployment.

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.
Solid command of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
10+ years of industry experience in machine learning, with a strong record of building and deploying end-to-end ML systems at scale.
MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.
Deep expertise in deep learning for recommendation and personalization systems, including hands-on experience with TensorFlow, PyTorch, or similar frameworks.

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.