Senior Machine Learning Engineer

Key Skills

A/B Testing, Deep Learning, Keras software library, Machine learning techniques, Python Programming, PyTorch, Reinforcement Learning, Scala Programming, Spark Core, TensorFlow

Job Description

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 

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

$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.