Lead Machine Learning Engineer
Description For Lead Machine Learning Engineer
Disney Entertainment & ESPN Technology is seeking a Lead Machine Learning Engineer to join their innovative team. This role sits within the ML Platform team, focusing on building interfaces, tooling, and services for ML model development and deployment. The position offers an opportunity to work on cutting-edge ML infrastructure supporting key product functions like personalization, recommendations, fraud prevention, and capacity planning.
The ideal candidate will lead the development of machine learning platforms applying state-of-the-art AI technologies, manage ETL pipelines, and work with petabyte-scale datasets. They will be responsible for maintaining high system availability while driving innovation in ML infrastructure.
Working at Disney Entertainment & ESPN Technology means being part of reimagining magical viewing experiences for the world's most beloved stories. The team is transforming Disney's media business through streaming and digital products, powering worldwide advertising and distribution, and delivering unmatched entertainment and sports content to hundreds of millions globally.
The role offers competitive compensation ranging from $167,700 to $246,400 depending on location, plus potential bonuses and comprehensive benefits. The position requires 7+ years of experience and deep expertise in ML technologies, big data processing, and system architecture. This is an excellent opportunity for a seasoned ML engineer looking to make an impact at scale while working with cutting-edge technology in the entertainment industry.
Responsibilities For Lead Machine Learning Engineer
- Lead the enhancement and development of machine learning platform
- Develop and maintain ETL pipelines using Airflow and Jenkins
- Deploy scalable streaming and batch data pipelines
- Maintain existing standards and drive platform feature development
- Collaborate with researchers, program managers, and product managers
- Mentor and guide team members' professional development
Requirements For Lead Machine Learning Engineer
- 7+ years of professional programming and design experience in Java, Python, Scala
- Bachelor's Degree in Computer Science or related quantitative field
- Strong experience with ML technologies (TensorFlow, Kubeflow, PyTorch)
- Experience with big data processing technologies
- Strong knowledge of system/application design and architecture
- Experience deploying and maintaining pipelines (AWS, Docker, Airflow)
- Strong written and verbal communication skills
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