Senior Machine Learning Engineer

Posted on 11/1/2023

501-1,000 employees

Free, ad-supported TV and movie streaming service

Company Overview

Tubi stands out as a leading ad-supported video-on-demand service in the U.S., offering a vast content library of over 200,000 movies and TV episodes, including Tubi Originals and nearly 250 FAST channels. The company's competitive edge lies in its advanced streaming technology and personalization engine, which tailors recommendations to individual viewer preferences, enhancing user experience. As part of the Tubi Media Group, a division of Fox Corporation, Tubi demonstrates industry leadership by providing free, legal, and accessible streaming services, monetized through ads, in partnership with major studios like MGM, Lionsgate, and Paramount.

Consumer Software

Company Stage

Series B

Total Funding

$46M

Founded

2014

Headquarters

San Francisco, California

Growth & Insights

Headcount

6 month growth

↑ 9%

1 year growth

↑ 32%

2 year growth

↑ 66%

Locations

San Francisco, CA, USA • Remote in USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

Data Structures & Algorithms

Keras

Pytorch

Scala

Tensorflow

Python

CategoriesNew

AI & Machine Learning

Requirements

3-5 years of experience in machine learning engineering with production systems using Python, Scala, & Apache Spark
Experience with: recommender systems, learning to rank, ads targeting, reinforcement learning, contextual bandits, deep learning, etc
Previous experience with Apache Spark, Tensorflow, Pytorch or Keras
Bachelor's degree from an accredited university, or equivalent work experience

Responsibilities

Design and develop state-of-the-art machine learning models for various supervised and unsupervised machine learning tasks to improve recommendations
Own end-to-end production of machine learning algorithms including prototyping new ideas and writing code for A/B tests and production
Conduct AB tests to prove your ideas and share your learnings from the experiment results
Develop both machine learning and business-specific metrics

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 200,000 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:

The Machine Learning team at Tubi works on core algorithms that define the entire experience of its 33+ million users. We work on different areas such as recommendations, search, content understanding and ads. We are searching for a talented and passionate Machine Learning Engineer to join our team to develop and improve our core algorithms and embeddings. In this role, you will research and develop machine learning algorithms and take full ownership of tackling problems in Tubi’s recommender and content understanding system. You need a strong background in machine learning, hands-on development skills to tackle some of the challenges in a fast-paced dynamic environment, and the ability to collaborate well in a cross-functional setting. You will lead the algorithm research and development in different areas of machine learning including large-scale feature engineering, relevance optimization for the entire page, designing deep learning/gradient-boosted tree-based models, balancing exploration vs exploitation, integrating unstructured features like images and videos, developing real-time pipelines, etc.

Responsibilities:

Design and develop state-of-the-art machine learning models for various supervised and unsupervised machine learning tasks to improve recommendations
Own end-to-end production of machine learning algorithms including prototyping new ideas and writing code for A/B tests and production
Conduct AB tests to prove your ideas and share your learnings from the experiment results
Develop both machine learning and business-specific metrics

Your Background:

3-5 years of experience in machine learning engineering with production systems using Python, Scala, & Apache Spark
Experience with: recommender systems, learning to rank, ads targeting, reinforcement learning, contextual bandits, deep learning, etc.
Previous experience with Apache Spark, Tensorflow, Pytorch or Keras
Bachelor’s degree from an accredited university, or equivalent work experience

#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, 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

$197,000—$235,000 USD

Colorado and Washington (excluding Seattle, WA)

$177,000—$208,000 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.