Senior Machine Learning Engineer at Tubi

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Engineering, Python, TensorFlow, PyTorch, Real-Time Inference, Streaming Data, AWS, Spark, Kubernetes, MLOps, A/B Testing, Optimization Techniques, Collaboration, Performance Tuning, Latency Optimization

Industry

Entertainment Providers

Description

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. Title Senior Machine Learning Engineer Location Type: Hybrid Location: Toronto, ON OVERVIEW OF THE COMPANY 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. 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. 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. You’ll 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 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 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 summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. For all salaried/exempt 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 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. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. 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.

Responsibilities

As a Senior ML Engineer, you will develop, deploy, and maintain scalable machine learning systems that impact monetization across FOX’s streaming and broadcast properties. You will work closely with cross-functional teams to implement real-time ad decisioning and optimization solutions.