Senior Machine Learning Engineer

The Machine Learning team at Tubi drives the innovation behind personalized user experiences. 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.

We are seeking a highly skilled  Senior Machine Learning Engineer  to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross‑functional teams to develop and optimize machine learning‑driven solutions.

This is a hybrid role in our Toronto office.

What You’ll Do:

Design, develop, and implement recommendation systems and algorithms for a global audience

Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas

Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment

Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.

Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning‑driven solutions that improve user engagement

Your Background:

3+ years of industry experience building production Machine Learning systems

BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field

Experience with deep learning technologies for recommendation systems, including Tensor Flow, PyTorch, or similar frameworks

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

Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.

Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

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.

$143,600 - $205,200 CAD

This role is also eligible for an annual discretionary bonus, long‑term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.

Toronto, Canada

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.

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