Staff Machine Learning Engineer at Tubi

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Streaming Media, Ad Tech, Machine LearningIndustries

Requirements

8+ years in ML or data engineering roles, with at least 2+ years in high-scale, real-time systems
Proficiency in Python, TensorFlow/PyTorch, and production ML tooling (e.g., Airflow, Spark, MLflow)
Experience deploying ML systems with sub-100ms latency in adtech or streaming contexts
Strong background in MLOps: retraining workflows, model versioning, pipeline orchestration
Familiarity with AWS, Kubernetes, and CI/CD frameworks
Ability to translate business goals into measurable model outcomes

Responsibilities

Design and deploy low-latency ML pipelines for real-time bidding and ad delivery
Build scalable systems for forecasting, yield optimization, and media planning
Collaborate with data engineering teams to integrate third-party data and behavioral signals
Drive experimentation through A/B testing and continuous model optimization
Define architecture standards and tooling for MLOps, retraining workflows, and model monitoring
Mentor senior and junior engineers across ML engineering best practices
Evaluate third-party tools and platforms to inform build-vs-buy decisions
Own performance metrics tied to business impact: eCPM, ROAS, fill rate, etc

Skills

Key technologies and capabilities for this role

Machine LearningML EngineeringReal-time SystemsAuction DynamicsYield OptimizationIdentity ResolutionForecastingLatency OptimizationPythonAWSSnowflake

Questions & Answers

Common questions about this position

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

Candidates need 8+ years in ML or data engineering roles, with at least 2+ years in high-scale, real-time systems.

What technical skills are required for this position?

Proficiency in Python, TensorFlow/PyTorch, and production ML tooling such as Airflow, Spark, and MLflow is required, along with experience deploying ML systems with sub-100ms latency in adtech or similar.

Is this role remote or hybrid, and where is it located?

The role is hybrid and located in Toronto, ON.

What does the team structure look like for this role?

You'll work alongside the Director of ML and a growing team, playing a hands-on leadership role.

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

Strong candidates have 8+ years of ML or data engineering experience focused on high-scale real-time systems, proficiency in Python and ML frameworks like TensorFlow/PyTorch, and the ability to design low-latency ML pipelines while mentoring engineers.

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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