Senior Machine Learning Engineering Manager

About the Role:

Machine Learning at Tubi drives personalization and recommendation across the app. You'll have the opportunity to work with cutting-edge deep learning and LLM technologies to drive the next generation of content-aware recommendation. The tech stack you and your team will be working with is Spark, Scala, Python, and Tensorflow.

This is a hybrid role in our San Francisco office.

What You'll Do:

• Empower your team to achieve a high level of technical productivity, reliability, and simplicity
• You and your team will:
• Own deliverables end-to-end, including R&D, prototyping, data pipelines, production models, and experimentation using both LLMs and classical embedding techniques
• Partner closely with teams across the company to propose and drive integrations of content understanding with applications including content ranking, cold starting, content acquisition, advertising, and more.
• Partner closely with ML Infra, Data Engineering, Data Science, Product, and other machine learning teams to create and maintain cross-functional roadmaps
• Help the machine learning engineers on your team advance in their careers and grow through 1:1s and mentoring
• Partner with Tubi's Talent Acquisition team to attract and hire top-tier engineering talent

Your Background:

• 7+ years of experience in machine learning engineering with production systems using Python, Scala, & Apache Spark
• 2+ years of experience leading/managing a team of machine learning engineers
• Experience owning large-scale, realtime recommendation or search models
• MSc or PhD in Computer Science, Statistics, Applied Mathematics, Physics or related field. PhD preferred

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