Lead Machine Learning Engineer

Disney Entertainment & ESPN Technology is seeking a Lead Machine Learning Engineer to join their innovative team focused on reimagining magical viewing experiences. This role sits within the ML Platform team, where you'll be instrumental in building and maintaining the infrastructure that powers Disney's media, advertising, and distribution businesses.

The position offers an exciting opportunity to work on large-scale ML systems that impact millions of consumers daily across platforms like Disney+, Hulu, ABC News, and ESPN. You'll be responsible for developing and maintaining a sophisticated machine learning platform that supports training, inference, and all aspects of ML through a self-service interface.

As a Lead ML Engineer, you'll work with petabyte-scale datasets, developing ETL pipelines and implementing scalable solutions using cutting-edge technologies. The role involves collaboration with researchers, program managers, and product managers while mentoring team members and maintaining high engineering standards.

Key responsibilities include enhancing the ML platform, developing data pipelines, maintaining engineering standards, and driving innovation in ML infrastructure. You'll work on critical areas like personalization, recommendation systems, fraud prevention, and capacity planning.

The ideal candidate brings 7+ years of professional programming experience, strong knowledge of ML technologies (TensorFlow, Kubeflow, PyTorch), and expertise in big data processing. Experience with AWS, Docker, Airflow, and Databricks is essential. The role offers competitive compensation ranging from $167,700 to $246,400 depending on location and experience.

This is an excellent opportunity for a seasoned ML engineer looking to make a significant impact at one of the world's leading entertainment companies. You'll be at the forefront of innovation, working on projects that shape how millions of people consume and experience digital content while being part of a team that values continuous learning and technical excellence.