Senior Machine Learning Engineer at Tubi

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Streaming Media, Ad Tech, EntertainmentIndustries

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

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

Skills

Key technologies and capabilities for this role

Machine LearningML EngineeringReal-time InferenceTraining InfrastructureExperimentation FrameworksAd PersonalizationAd OptimizationPythonAWSSnowflakeScalable Systems

Questions & Answers

Common questions about this position

What experience level is required for the Senior Machine Learning Engineer role?

You need 5+ years of hands-on machine learning or data engineering experience.

What is the location and work arrangement for this position?

The role is hybrid and based in Toronto, ON.

What technical skills are required for this role?

Proficiency with Python and ML frameworks such as TensorFlow or PyTorch is required, along with experience with real-time inference systems and stream processing.

What does the team collaboration look like in this role?

You'll work in close collaboration with data science, engineering, and product teams, participate in code reviews, system design discussions, sprint planning, and collaborate on data integration with partners.

What makes a strong candidate for this Senior ML Engineer position?

Strong candidates have 5+ years of hands-on ML or data engineering experience, proficiency in Python and frameworks like TensorFlow or PyTorch, and expertise in real-time inference systems, with the ability to design scalable ML pipelines and work cross-functionally.

Tubi

Free ad-supported movie and TV streaming

About Tubi

Tubi provides a free streaming service that allows users to watch a large selection of movies and TV shows without any subscription fees. The platform operates on an ad-supported model, meaning that while users can access content for free, they will see advertisements during their viewing. This approach makes Tubi appealing to individuals who are looking for quality entertainment without the costs associated with services like Netflix or Hulu. Tubi primarily targets a diverse audience, including budget-conscious consumers and those who prefer streaming over traditional cable TV. Currently, Tubi operates in the United States and is working on meeting GDPR requirements to expand into European markets. The company's goal is to offer accessible entertainment while generating revenue through advertising partnerships.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$73MTotal Funding

ACQUISITIONCompany Stage

Consumer Goods, EntertainmentIndustries

201-500Employees

Benefits

Compensation - Every employee is paid a competitive & equitable salary.

Benefits - We offer generous coverage for health, dental, vision, and more for you and your dependents.

Parental Leave Program - We are proud to support growing families of all shapes and sizes and types. We welcome each new addition with generous paid time off to bond with your new addition.

Wellness - Tubi cares about your well being inside and out. That’s why we offer multiple coverage options for mental and physical well being for you and your family as well as a fitness stipend.

Tuition Reimbursement Program - Your professional growth and development are important to Tubi and we’re here to support you.

401(k) Match - Investing in your future is important to us. From our highly-rated retirement savings matches to financial advisors and planning services, we offer many resources to help keep you financially fit.

Risks

'Scenes' may struggle to differentiate from TikTok and Instagram Reels.

UK expansion faces regulatory and competitive challenges from local streaming services.

Past perceptions of Tubi as a 'scam' may hinder brand trust and growth.

Differentiation

Tubi offers a vast library of free, ad-supported content, unlike subscription services.

The 'Scenes' feature provides TikTok-style clips to enhance content discovery.

Tubi's partnerships with creators like Issa Rae boost its appeal to diverse audiences.

Upsides

Growing interest in ad-supported streaming boosts Tubi's user base and ad revenue.

The 'Scenes' feature aligns with the trend of short-form video consumption.

Tubi's potential European expansion opens new markets and revenue streams.

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