Senior Machine Learning Engineer

The Machine Learning Engineer will join Tubi's team to develop and enhance core algorithms and embeddings for the streaming service. They will be responsible for researching and implementing machine learning algorithms to improve Tubi's recommender and content understanding system. The ideal candidate should have a strong background in machine learning, hands-on development skills, and the ability to collaborate in a fast-paced environment. Key responsibilities include designing and developing machine learning models, conducting A/B tests, and developing both machine learning and business-specific metrics. The candidate should have 3-5 years of experience in machine learning engineering with proficiency in Python, Scala, and Apache Spark.

• 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

• 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

• Competitive salary range ($197,000-$235,000 USD in certain locations)
• Annual discretionary bonus
• Long-term incentive plan
• Medical/dental/vision insurance
• 401(k) plan
• Paid time off
• 12 paid "Tubi Holidays" in addition to 10 FOX Corporate Company paid holidays
• Flexible Time off Policy for salaried/exempt employees
• Generous Parental Leave Program (12 weeks of paid bonding leave within the first year of the birth, adoption, surrogacy, or foster placement of a child)
• Monthly wellness reimbursement
• Equal opportunity employer
• Consideration for employment for qualified applicants with arrest and conviction records
• E-Verify company