Boldly built for every fandom Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the worlds 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.
Title
Senior Machine Learning Engineer
Location Type:
Hybrid
Location:
Toronto ON
OVERVIEW OF THE COMPANY
AdRise is FOXs 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 Tubis 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 FOXs 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.
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 FOXs streaming and broadcast properties. This is a highly technical and hands-on role focused on building real-time inference pipelines training infrastructure and experimentation frameworks that fuel next-gen ad personalization and optimization. Youll work in close collaboration with data science engineering and product teams to deploy ML solutions that operate under strict performance constraints.
A SNAPSHOT OF YOUR RESPONSIBILITIES
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 teams 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
WHAT YOU WILL NEED
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 BUT NOT A DEALBREAKER
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
#LI-Hybrid
Tubi is a division of Fox Corporation and the FOX Employee Benefits summarizedherecovers the majority of all US employee following distinctions below outline the differences between the Tubi and FOXbenefits:
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.
Required Experience:
Senior IC
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