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Machine Learning Engineer (Staff & Principal)

Tubi

Toronto, Ontario, Canada (Hybrid) · Full Time

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Experience
8+ yrs
Salary
CAD 168,000 – CAD 309,000 / year
Openings
1
Posted
41 minutes ago
Work mode
Hybrid
Education
MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or related field
Resume
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Job description

About The Role

The Machine Learning team at Tubi drives innovation in personalized user experiences across a vast streaming platform, impacting recommendations, search, content understanding, and advertisement optimization. With hundreds of millions of users and the largest content inventory in the industry, this team focuses on shaping the future of streaming through advanced machine learning solutions.

We are looking for a highly experienced Staff Machine Learning Engineer to lead transformative projects that enhance video personalization. This technical leadership role involves designing and implementing sophisticated algorithms and scalable systems to advance our personalization methods while collaborating closely with cross-functional teams.

This position operates on a hybrid work model based in the Toronto office.

Key Responsibilities

  • Lead the creation, development, and deployment of advanced recommendation algorithms designed for a worldwide audience.
  • Perform in-depth analysis and enhancement of algorithmic components to ensure models achieve optimal scalability and performance across different regions and product lines.
  • Develop and maintain robust machine learning pipelines encompassing data gathering, feature extraction, model training, evaluation, and deployment.
  • Ongoing assessment and tuning of live machine learning models to meet business objectives and deliver superior user engagement quality.
  • Collaborate with Product, Engineering, and Data Science teams to align machine learning initiatives with product requirements and expectations.

Required Qualifications

  • Minimum of eight years' professional experience building and deploying production machine learning systems.
  • Advanced degree (MSc or Ph.D.) in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline.
  • Solid expertise in deep learning frameworks such as TensorFlow or PyTorch, particularly applied to recommendation systems.
  • Proficiency in constructing end-to-end machine learning pipelines covering data extraction, mining, feature engineering, model training, testing, and deployment.
  • Strong foundation in statistical techniques including hypothesis testing, regression, and evaluation metrics relevant to machine learning models.
  • Capability to deeply analyze individual system components while understanding the broader architecture of machine learning solutions.

Compensation and Benefits

Salary ranges depend on education, skills, experience, and location as follows:

  • Staff level: CAD 168,000 to 307,000 per year
  • Principal level: CAD 202,000 to 309,000 per year

The role also qualifies for an annual discretionary bonus, long-term incentive plan, and comprehensive benefits including medical, dental, vision, insurance, vacation/paid time off, and other employee benefits according to applicable plan policies.

Tubi offers distinct employee benefits compared to FOX Corporation, including a Flexible Time Off Policy, a generous Parental Leave Program up to 12 weeks of paid bonding leave in Canada, wellness reimbursements, and more.

Company Overview

Tubi is a free streaming platform powering over 100 million monthly active users with the world's largest offering of Hollywood films, TV shows, creator-driven content, and exclusive Originals. Founded in 2014 and headquartered in San Francisco, it is a division of the Fox Corporation.

Equal Employment Opportunity

Tubi is committed to diversity and inclusive hiring. All qualified candidates will receive consideration regardless of race, color, religion, sex, gender identity, disability, veteran status, or other legally protected attributes. Consideration is also extended to applicants with criminal histories in line with applicable laws.

Minimum education

Doctorate

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Teamwork & Collaboration Problem Solving Attention to Detail Leadership

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