Lead Machine Learning Engineer
Description For Lead Machine Learning Engineer
Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to join their global organization of engineers, product developers, and technologists. This role focuses on developing and maintaining state-of-the-art recommendation and personalization algorithms serving hundreds of millions of users across Disney+, Hulu, ABC, and ESPN platforms.
The position offers an opportunity to work at the intersection of technology and creativity, building world-class products that enhance storytelling and drive innovation. As a Lead Machine Learning Engineer, you'll be responsible for leading the research, development, deployment, and optimization of recommendation algorithms across various product surfaces. The role requires collaboration with Engineering, Product, and Data teams to apply advanced machine learning techniques in support of strategic personalization initiatives.
The ideal candidate will have extensive experience in developing highly scalable machine learning products, with a strong background in recommendation systems and deep learning frameworks. You'll be working on projects that directly impact millions of users worldwide, helping to shape how audiences experience Disney's vast content library through personalized recommendations.
Working at Disney Entertainment & ESPN Technology means being part of reimagining how to create magical viewing experiences while transforming Disney's media business for the future. The team is responsible for evolving streaming and digital products in new and immersive ways, powering worldwide advertising and distribution, and delivering Disney's unmatched entertainment and sports content.
This is an exceptional opportunity to join a company that combines cutting-edge technology with world-class entertainment, working on systems that operate at massive scale and impact millions of users daily. The role offers competitive compensation, with salary ranges varying by location, and the chance to work on products that shape industry norms in content recommendation and personalization.
Responsibilities For Lead Machine Learning Engineer
- 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 complex streaming recommendation systems and understand overall framework/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
- Work collaboratively with peers to achieve goals with deadline
Requirements For Lead Machine Learning Engineer
- Strong proficiency in deep learning frameworks (tensorflow, 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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