Director, ML Engineering

Tubi; Toronto; On-site; CAD 272,900 - 417,200; Full time

Benefits offered by this job

Flexible Time Off Policy

Generous Parental Leave Program

Monthly wellness reimbursement

Job summary

Tubi is seeking a Director of Machine Learning Engineering in Toronto to lead an innovative team that drives personalized user experiences. This role involves providing hands-on leadership, setting the strategic direction for ML applications, and addressing challenging technical problems that impact millions of viewers.

The ideal candidate will have 10+ years in machine learning, including significant experience with recommendation systems and deep learning technologies. A strong educational background in technical fields is essential, along with excellent communication skills.

Qualifications

• 10+ years of experience in machine learning, with a strong record in ML systems.
• 3+ years of leadership experience in building and leading technical teams.
• Deep expertise in recommendation systems and advanced ML algorithms.

Responsibilities

• Lead and grow a high-performing ML engineering team.
• Set and execute the strategic roadmap for ML systems.
• Conduct deep dives into algorithmic components for model optimization.

Skills

Leadership experience in Machine Learning teams

Deep learning expertise

Proficiency in TensorFlow or PyTorch

Full-stack ML pipeline development

Statistical analysis skills

Excellent communication skills

Education

MSc or Ph.D. in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

About The Role

The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming.

We are seeking a Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands‑on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross‑functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi.

What You’ll Do

• Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration.
• Set and execute the strategic roadmap for recommendation, personalization, and ads optimization systems, including recommendation foundation modeling for a global audience.
• Stay hands‑on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas.
• Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems.
• Build and deploy robust, full‑stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving.
• Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and deliver high‑quality user experiences.
• Partner closely with Product, Engineering, and Content teams to align on requirements, set expectations, and deliver ML‑driven solutions that improve user engagement.

Your Background

• 10+ years of industry experience in machine learning, with a strong record of building and deploying end‑to‑end ML systems at scale.
• 3+ years of leadership and management experience, with a proven ability to build and lead strong technical teams while remaining technically hands‑on.
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.
• Deep expertise in deep learning for recommendation and personalization systems, including hands‑on experience with TensorFlow, PyTorch, or similar frameworks.
• Proficiency in building and deploying full‑stack ML pipelines: data extraction, data mining, feature development, model training, testing, and deployment.
• Solid command of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
• Ability to deep dive into individual components and systems while holding the overall architecture of ML solutions in view.
• Excellent communication skills and the ability to influence product and technical strategy.

Compensation

Toronto, Canada

$272,900 - $417,200 CAD

Benefits

• For all salaried 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 (top up in Canada) 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 (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage‑replacement programs in addition to contributions made by Tubi.
• For all full‑time, regular employees, Tubi offers a monthly wellness reimbursement.

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.

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.