
Principal ML Engineer – Personalization & Recommendations
Tubi, Inc.Role Overview
Tubi, Inc. is hiring a Principal ML Engineer – Personalization & Recommendations. This is a full-time hybrid role, based in Toronto, Ontario. Part of Tubi, Inc.'s Fullstack hiring. The posted range is $203k to $309k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
A leading streaming service provider is searching for a Principal Machine Learning Engineer for their Toronto office. This hybrid role involves leading the design and implementation of advanced recommendation systems to enhance user personalization. Candidates should have over 10 years of experience in Machine Learning, with expertise in deep learning technologies and full-stack ML pipelines. The position offers a competitive salary in the range of $202,800 - $309,000 CAD plus benefits including wellness reimbursement and flexible time-off policies.
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Frequently Asked Questions
How do I apply for the Principal ML Engineer – Personalization & Recommendations position at Tubi, Inc.?
Use the Apply button above to submit your application directly to Tubi, Inc.. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Principal ML Engineer – Personalization & Recommendations role at Tubi, Inc. remote or in-office?
This is a hybrid role based in Toronto, Ontario. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
How much does the Principal ML Engineer – Personalization & Recommendations role at Tubi, Inc. pay?
Tubi, Inc. has posted a compensation range of $203k to $309k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Principal ML Engineer – Personalization & Recommendations role at Tubi, Inc. posted?
This role was posted on March 20, 2026 (89 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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