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 is crucial in developing and maintaining state-of-the-art recommendation algorithms serving hundreds of millions of users across Disney+, Hulu, ABC, and ESPN platforms.
The position offers an exciting opportunity to work at the intersection of technology and entertainment, building systems that directly impact how users interact with Disney's vast content library. As a Lead ML Engineer, you'll be responsible for leading the research, development, and deployment of recommendation algorithms while collaborating with Engineering, Product, and Data teams.
The role combines technical expertise in machine learning with practical business application, requiring both deep technical knowledge and the ability to translate complex concepts for non-technical stakeholders. You'll be working with modern deep learning frameworks and cloud infrastructure, particularly AWS, to build scalable solutions.
The position offers competitive compensation ranging from $172,300 to $246,400 depending on location, plus comprehensive benefits. This is an excellent opportunity for experienced ML engineers looking to make an impact at scale, working with some of the world's most popular streaming platforms.
The ideal candidate will have 7+ years of experience in machine learning and Python development, with a strong background in recommendation systems and a track record of delivering production-level implementations. If you're passionate about using cutting-edge technology to enhance how millions of users discover and enjoy content, this role offers the perfect blend of technical challenge and real-world impact.
Responsibilities For Lead Machine Learning Engineer - Personalization
- Developing and prototyping state-of-the-art Deep Neural Net algorithms for recommendation systems
- Deliver production-level implementation & operation at scale
- Learn complex streaming recommendation systems
- Identify opportunities to improve business operations
- Drive business decisions through data-driven approach
- Technically guide a team of engineers
- Work collaboratively with peers to achieve goals
Requirements For Lead Machine Learning Engineer - Personalization
- Strong proficiency in tensorflow or pytorch
- Experience building and deploying full stack ML pipelines
- Track record of building recommendation systems
- Experience with cloud services (particularly 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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