Lead Machine Learning Engineer - Personalization
Description For Lead Machine Learning Engineer - Personalization
Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to join their Personalization team. This role sits at the intersection of technology and creativity, working on recommendation systems that serve hundreds of millions of users across Disney+, Hulu, ABC, and ESPN platforms.
The position offers an exciting opportunity to shape the future of Disney's media technology, working with world-class products that reach global audiences. As a Lead Machine Learning Engineer, you'll be responsible for developing and maintaining state-of-the-art recommendation and personalization algorithms, collaborating with Engineering, Product, and Data teams to drive innovation in content recommendations.
The role combines technical expertise in machine learning with strategic thinking, requiring both hands-on development skills and the ability to guide technical solutions. You'll work with modern deep learning frameworks, cloud infrastructure, and large-scale data systems to create personalized experiences for users across Disney's media portfolio.
This is an exceptional opportunity to join a company that's at the forefront of entertainment technology, offering the chance to work on products that impact millions of users globally. The position offers competitive compensation and the opportunity to work with cutting-edge technology while contributing to the evolution of how people consume and interact with Disney's content.
The ideal candidate will bring strong technical expertise in machine learning, demonstrated experience with recommendation systems, and the ability to translate complex technical concepts for various audiences. This role offers the perfect blend of technical challenge and business impact, making it an exciting opportunity for someone passionate about applying machine learning to enhance user experiences at scale.
Responsibilities For Lead Machine Learning Engineer - Personalization
- Develop and prototype state-of-the-art Deep Neural Net algorithms for recommendation systems
- Deliver conceptual solutions into production-level implementation & operation at scale
- Learn and understand complex streaming recommendation systems and architecture
- Identify opportunities to improve business operations and develop practical solutions
- Drive business decisions through data-driven approach
- Provide technical leadership to guide a team of engineers
- Collaborate with peers to achieve goals with deadlines
Requirements For Lead Machine Learning Engineer - Personalization
- Strong proficiency in TensorFlow or PyTorch
- Experience building and deploying full stack ML pipelines
- Track record of designing and implementing effective recommendation systems
- Experience with cloud services in production environment (AWS)
- Understanding of statistical concepts
- Bachelor's degree in Computer Science or related field
- 7+ years of experience in developing scalable machine learning products
- 7+ years writing production-level, scalable Python code
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