Please reference you found the job post on jobsfordevelopers.com to help us get more companies to post here.
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:
Your Background:
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:
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.
Share