Posted 7 months ago
Machine Learning Engineer (Staff & Principal)
@ Tubi - Canada
Toronto, Ontario
Overview
Tubi is hiring a Staff or Principal Machine Learning Engineer for its Toronto office, working in a hybrid arrangement. The role leads the design and deployment of recommendation systems and ML pipelines for video personalization, and the posting gives pay ranges of $232,200 to $331,700 CAD (Staff) and $202,000 to $309,000 CAD (Principal) annually, plus an annual discretionary bonus.
Responsibilities:
- Lead design of advanced recommendation systems and algorithms
- Build and deploy ML pipelines from data extraction to deployment
- Monitor and optimize deployed model performance
- Align requirements with Product, Engineering and Data Science teams
Requirements summary:
- 8+ years building production ML systems
- MSc or PhD in Computer Science, Machine Learning, Statistics, Mathematics or related field
- Experience with TensorFlow, PyTorch or similar frameworks
- Solid statistics knowledge including hypothesis testing and regression
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-04-08
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-20
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Computer Science, Machine Learning, Statistics, Mathematics |
| Perks mentioned | Generous paid time off, Flexible hours, Generous parental leave, Performance bonus, Wellness |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Tubi - Canada
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels. Tubi is part of the Tubi Media Group, a division of Fox Corporation that oversees the company’s digital businesses
- LinkedIn followers
- 149,797
- People associated on LinkedIn
- 926
- Reported office locations
- 201 3rd St, Fl 12, San Francisco, California 94103, US
- 1211 Avenue of the Americas, Fl 42, New York, NY 10036, US
- 10201 W Pico Blvd, Los Angeles, California 90067, US
- 222 W. Merchandise Mart Plaza, Suite 575, Chicago, Illinois 60654, US
- 23F, POSCO Center Tower A, Hongtai East Street, Chaoyang District, Beijing, 100102, CN
- 48 Yonge St, Toronto, Ontario M5E 1G6, CA
- 13 Dirty Lane, London, SE1 9PA, GB
- Business categories
- Media and Entertainment
- Digital Entertainment
- Film
- Advertising
- Other recorded names
- Tubi
- Tubi Builders Program
- Tubi - Canada
- Specialties
- free TV
- entertainment
- streaming
- and advertising
- Profile identifies a recruitment agency
- No
- Reported total investment
- 28,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels…
| Field | Value |
|---|---|
| Industry | Entertainment Providers |
| Company size | 501-1,000 employees |
| Headquarters | San Francisco, California |
| Organization type | Public Company |
| Specialties | free TVentertainmentstreamingand advertising |
| Open jobs on Jobsy | 14 |
| View page |
About the Role:
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 Staff 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:
- Lead the design, development, and implementation of advanced 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:
- 8+ years of industry experience building production Machine Learning systems
- MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
- Experience with deep learning technologies for recommendation systems, including TensorFlow, 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.
#LI-Hybrid #LI-SC1
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.
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.
Staff Level
$232,200—$331,700 CAD
Principal Level
$202,000—$309,000 CAD
Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:
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, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi.
For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.
About Tubi:
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.
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