Senior Machine Learning Engineer, Core Ranking

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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. In this role, you will research and develop machine learning algorithms and take full ownership tackling problems in Tubi’s recommender system. You need a strong Machine Learning background and hands-on development skills to tackle some of the challenges in a fast paced dynamic environment and have 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 the 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 experiment results
• Develop both machine learning and business specific metrics

Your Background:

• Bachelor's degree from an accredited university, or equivalent work experience 
• 3-5 years for relevant industry experiences on recommender systems, learning to rank, ads targeting, reinforcement learning, contextual bandits, deep learning, etc.
• Experience with large-scale datasets, supporting dozens of millions of users
• Ability to write production-quality code incorporating testing, evaluation, monitoring
• Software development experience in Python, Scala or Java
• Previous experience with Apache Spark, Tensorflow, Pytorch or Keras