Director, ML Engineering & Infrastructure

What this role involves

The Director of ML Engineering & Infrastructure at Tubi leads a hybrid team bridging ML engineering and infrastructure design. Responsibilities include defining the strategic roadmap for ML systems, overseeing scalable pipelines, and partnering with product teams. The role requires 10+ years of experience in ML engineering and distributed systems, plus leadership experience.

Skills this posting asks for

• machine learning
• distributed systems
• recommendation systems
• personalization
• deep learning
• tensorflow
• pytorch
• aws
• databricks
• ml pipelines
• data ingestion
• feature engineering
• model serving
• experimentation
• low-latency services
• streaming platforms
• system monitoring
• cost efficiency
• scalability

Requirements

• 10 years of experience
• Level: director

From the employer’s posting

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understandin…