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 entertainment, focusing on developing and maintaining state-of-the-art recommendation algorithms that serve hundreds of millions of users across Disney+, Hulu, ABC, and ESPN platforms.
The position offers a unique opportunity to shape the future of Disney's media technology, working with some of the most recognized entertainment brands globally. As a Lead Machine Learning Engineer, you'll be responsible for leading the research, development, and deployment of sophisticated recommendation systems that directly impact user experience across multiple streaming platforms.
The role combines deep technical expertise in machine learning with practical business application, requiring both strong engineering skills and the ability to collaborate with cross-functional teams. You'll be working with cutting-edge technologies and frameworks like TensorFlow and PyTorch, while handling large-scale data and cloud infrastructure on AWS.
This is an excellent opportunity for an experienced machine learning engineer who wants to make a significant impact at scale. You'll be working on problems that affect millions of users worldwide, helping to personalize and enhance their entertainment experience across Disney's vast content library. The position offers competitive compensation and the chance to work with a world-class team of engineers and product developers.
The ideal candidate will bring 7+ years of experience in machine learning and Python development, with a strong background in recommendation systems and a track record of delivering production-scale solutions. If you're passionate about combining advanced machine learning techniques with entertainment technology to create personalized user experiences, this role offers an exciting opportunity to shape the future of content delivery at one of the world's leading media companies.
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
- Technically guide a team of engineers and work collaboratively with peers
- Build and deploy full stack ML pipelines
Requirements For Lead Machine Learning Engineer - Personalization
- 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
- Ability to articulate models and algorithms to technical and non-technical audiences
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