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Senior Machine Learning Engineer (Toronto)

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Fox News Media

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Location:
Canada , Toronto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

200000.00 - 280000.00 CAD / Year
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Job Description:

AdRise is FOX's core ad tech platform, built to unify streaming and linear advertising across Tubi, FOX Sports, FOX News Media, and FOX Entertainment. Before AVOD became industry standard, AdRise helped power Tubi's growth from the ground up by developing real-time ad delivery and dynamic targeting infrastructure that scaled to serve millions. That same tech foundation is now fueling FOX's cross-portfolio monetization strategy. We are rebuilding the ad stack for video by optimizing server-side delivery, building ML-driven targeting systems, and enabling content-personalized ad experiences that respond to what viewers actually watch. From real-time decisioning to data collaboration with AWS and Snowflake, we are creating a smarter, more dynamic ad tech ecosystem. The problems are complex, the visibility is high, and the platform is built for impact. If you want to work at the center of streaming monetization on systems that touch billions of impressions and shape the next generation of personalized advertising, this is your platform.

Job Responsibility:

  • Design and maintain machine learning pipelines for real-time ad decisioning
  • Work with cross-functional teams to translate business goals into model solutions
  • Implement experimentation systems (A/B testing, multi-armed bandits) to continuously optimize outcomes
  • Collaborate on data integration with partners such as LiveRamp and TransUnion
  • Contribute to the team's MLOps infrastructure, from model training to deployment and monitoring
  • Participate in code reviews, system design discussions, and sprint planning
  • Conduct performance tuning and latency optimization for production ML systems

Requirements:

  • 5+ years of hands-on machine learning or data engineering experience
  • Proficiency with Python and ML frameworks such as TensorFlow or PyTorch
  • Experience with real-time inference systems and streaming data architectures
  • Familiarity with AWS, Spark, Kubernetes, and cloud-native development practices
  • Background in deploying ML systems in production environments with measurable impact
  • Solid understanding of ML experimentation, evaluation metrics, and optimization techniques

Nice to have:

  • Experience working 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
What we offer:
  • annual discretionary bonus
  • long-term incentive plan
  • medical/dental/vision
  • insurance
  • vacation/paid time off

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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