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Publié il y a 5 mois

VP / Director, ML Engineering

@ Tubi - Canada

Toronto, Ontario

Hybride10+ ans d’expérience
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SIGNAUX

En bref

Tubi - Canada is hiring a VP or Director of Machine Learning Engineering to lead and grow a high-performing ML team while staying hands-on in the algorithms and code. The work covers recommendation, personalization, and ads optimization systems, including recommendation foundation modeling. The posting states a hybrid or remote arrangement, a salary of $292,000 to $500,600 CAD, an annual bonus, and a long-term incentive plan.

Responsabilités :

  • Lead and grow a high-performing ML engineering team
  • Define ML strategy and technical roadmap for recommendations and ads
  • Stay hands-on in algorithms, models and code
  • Build and deploy full-stack ML pipelines
  • Monitor and optimize deployed model performance

Résumé des exigences :

  • 10+ years of ML experience with systems at scale
  • 5+ years of leadership and management experience
  • MSc or PhD in a related field, or equivalent experience
  • Deep expertise in deep learning for recommendation systems
  • Strong statistics and model evaluation skills
  • Excellent communication and influence skills

Outils et compétences

Avantages mentionnés

Soins dentairesAssurance invaliditéCongés payésCongé parentalMieux-être
Source et dates

Site carrière / système de candidatures · greenhouse

Date publiée par l’employeur
2026-06-18
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-10-20

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauChef d’équipe
DomaineDonnées et analytique
Expérience10 an(s) et plus
Expérience en gestion5 an(s) et plus
Gestion d’équipeOui
Milieu de travailDomicile, Bureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (préféré), Doctorat (préféré)
Domaines d’étudesComputer Science, Machine Learning, Statistics, Mathematics
Avantages mentionnésCongés payés généreux, Horaire flexible, Congé parental généreux, Prime de rendement, Mieux-être

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Tubi - Canada

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels. Tubi is part of the Tubi Media Group, a division of Fox Corporation that oversees the company’s digital businesses

Abonnés LinkedIn
149 797
Personnes associées sur LinkedIn
926
Bureaux déclarés
  • 201 3rd St, Fl 12, San Francisco, California 94103, US
  • 1211 Avenue of the Americas, Fl 42, New York, NY 10036, US
  • 10201 W Pico Blvd, Los Angeles, California 90067, US
  • 222 W. Merchandise Mart Plaza, Suite 575, Chicago, Illinois 60654, US
  • 23F, POSCO Center Tower A, Hongtai East Street, Chaoyang District, Beijing, 100102, CN
  • 48 Yonge St, Toronto, Ontario M5E 1G6, CA
  • 13 Dirty Lane, London, SE1 9PA, GB
Catégories d’activité
  • Media and Entertainment
  • Digital Entertainment
  • Film
  • Advertising
Autres noms enregistrés
  • Tubi
  • Tubi Builders Program
  • Tubi - Canada
Spécialités
  • free TV
  • entertainment
  • streaming
  • and advertising
Le profil indique une agence de recrutement
Non
Investissement total déclaré
28 000 000

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Tubi is the most watched free TV and movie streaming service in the U.S., dedicated to providing all people access to all the world's stories. As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest content library of over 275,000 movies and TV episodes, a growing collection of Tubi Originals, and nearly 250 FAST channels…

ChampValeur
SecteurEntertainment Providers
Taille501-1,000 employees
Siège socialSan Francisco, California
Type d’organisationPublic Company
Spécialitésfree TVentertainmentstreamingand advertising
Offres sur Jobsy14
LinkedInVoir la page
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 VP / 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.
  • Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy.
  • 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 with senior leaders across Product, Engineering, and Content to shape ML strategy, influence product and technical priorities, and drive ML investments that deliver measurable viewer and business impact.

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.
  • 5+ 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.

#LI-SC1

#LI-Hybrid #LI-Remote

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.

This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.

VP

$350,000—$500,600 CAD

Director

$292,000—$417,200 CAD

Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX 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.

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