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Senior Machine Learning Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Tubi
Full Time position
Listed on 2026-02-01
Job specializations:
  • IT/Tech
    Data Engineer, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below

Senior Machine Learning Engineer at Tubi – Join us if you are passionate about building scalable ML systems for ad tech.

Company Overview

Tubi is a free streaming service entertaining over 100 million monthly active users. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

Location

Hybrid – Toronto, ON

About

The Role

As a Senior ML Engineer at AdRise, you will develop, deploy, and maintain scalable machine learning systems that directly impact monetization across FOX’s streaming and broadcast properties. The role focuses on building real‑time inference pipelines, training infrastructure, and experimentation frameworks.

Responsibilities
  • Design and maintain ML pipelines for real‑time ad decisioning
  • Translate business goals into model solutions in collaboration with cross‑functional teams
  • Implement experimentation systems (A/B testing, multi‑armed bandits) for continuous optimization
  • Collate data integration with partners such as Live Ramp and Trans Union
  • Contribute to MLOps infrastructure – model training, deployment and monitoring
  • Participate in code reviews, system design discussions, and sprint planning
  • Conduct performance tuning and latency optimization for production ML systems
Qualifications
  • 5+ years of hands‑on machine learning or data engineering experience
  • Proficiency in Python and ML frameworks such as Tensor Flow or Py Torch
  • Experience with real‑time inference systems and streaming data architectures
  • Familiarity with AWS, Spark, Kubernetes, and cloud‑native development practices
  • Background deploying ML systems in production with measurable impact
  • Solid understanding of ML experimentation, evaluation metrics, and optimization techniques
Nice to Have
  • Experience in adtech, streaming, or real‑time bidding environments
  • Familiarity with yield optimization, media planning, or auction modeling
  • Exposure to tools like MLflow, Snowflake, or Airflow
Benefits
  • Flexible time‑off policy for salaried/exempt employees
  • Generous parental leave program (12 weeks paid bonding leave)
  • Monthly wellness reimbursement
  • Other FOX employee benefits applicable to US employees
EEO Statement

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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology – Entertainment Providers

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Position Requirements
10+ Years work experience
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