Senior Machine Learning Engineering Manager

Tubi is a global entertainment company and the most watched free TV and movie streaming service in the U.S. and Canada. Dedicated to providing all people access to all the world’s stories, Tubi offers the largest collection of on-demand content, including over 250,000 premium movies and TV episodes and over 300 exclusive originals. With a passionate fanbase and over 80 million monthly active viewers, the company is committed to putting viewers first with free, accessible entertainment for all.

About the Role:

Machine Learning at Tubi drives personalization and recommendation across the app. In this role, you will lead the team that owns both the Search and Content Understanding initiatives. You'll have the opportunity to work with cutting-edge deep learning and LLM technologies to drive the next generation of content-aware recommendation. The tech stack you and your team will be working with is Spark, Scala, Python, and Tensorflow.

Responsibilities:

• Empower your team to achieve a high level of technical productivity, reliability, and simplicity 
• You and your team will:
• Own search end-to-end, including R&D, prototyping, data pipelines, production models, and experimentation
• Drive content understanding data products from R&D, prototyping, data pipelines, and production models using both LLMs and classical embedding techniques
• Partner closely with teams across the company to propose and drive integrations of content understanding with applications including content ranking, cold starting, content acquisition, advertising, and more.
• Partner closely with ML Infra, Data Engineering, Data Science, Product, and other machine learning teams to create and maintain cross-functional roadmaps
• Help the machine learning engineers on your team advance in their careers and grow through 1:1s and mentoring
• Partner with Tubi’s Talent Acquisition team to attract and hire top-tier engineering talent

Your Background:

• 7+ years of experience in machine learning engineering with production systems using Python, Scala, & Apache Spark
• 2+ years of experience leading/managing a team of machine learning engineers
• Experience owning large-scale, realtime recommendation or search models
• MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics or related field. PhD preferred

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is 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, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.

California Compensation

Base ($237,000 to $338,000 / year) + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1 #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.