Machine Learning Tech Lead

Key Skills

Leadership, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scala Programming, Spark Core

Job Description

Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 50,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring content from every major Hollywood studio, Tubi gives entertainment fans an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming.

About the Role:

Our team is currently working on a number of exciting Machine Learning projects. You will be leading a critical team working on cutting edge deep learning technologies and algorithms. In particular you will lead a team as we move to the next generation of embeddings and infrastructure. The tech stack you and your team will be working with is Spark, Scala, Python, TF, & Pytorch.

Responsibilities:

• Empower your team to achieve a high level of technical productivity, reliability, and simplicity 
• You and your team will:
• Build production models and pipelines for content understanding using NLP for downstream applications like cold starting, content ranking, and content acquisition
• Conduct R&D on sophisticated recommender systems
• Build & improve next generation embeddings from interaction data
• 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 with ranking, retrieval, recommendation, and search models
• MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics or related field. PhD preferred

#LI-MQ1 #LI-Remote

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, New York City, Westchester County, NY and Seattle, WA

$220,000—$280,000 USD

Colorado and Washington (excluding Seattle, WA)

$198,000—$252,000 USD

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 US-based employees, Tubi offers 12 paid Tubi Holidays in addition to the 10 FOX Corporate Company paid holidays.
• 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 the birth, adoption, surrogacy, or foster placement of a child. 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.

Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.