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 

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