Disney Entertainment & ESPN Product Technology is looking to develop and deploy cutting-edge recommendation and personalization algorithms that power user experiences across Disney+, Hulu, ABC, and ESPN, serving hundreds of millions of users worldwide.
Requirements
- Strong proficiency in at least one of the following deep learning frameworks, tensorflow, pytorch
- Experiences building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
- Track record from design to full production of effective recommendation systems
- Experience with cloud services in a production environment (particularly AWS)
- Understanding of statistical concepts (e.g., hypothesis testing, regression analysis)
- Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance
- Deep understanding in personalization challenges in homepage experience and proven records of developing effective solutions
Responsibilities
- Developing and prototyping state-of-the-art Deep Neural Net algorithms for recommendation systems
- Deliver a conceptual solution into production-level implementation & operation at scale, for global user services
- Quickly learn our complex streaming recommendation systems and deep dive into individual components & systems as well as understand overall framework/architecture
- Identify impactful opportunities to improve our business operations and develop practical solutions and plans to lift our business KPI’s.
- Drive business decisions by data driven and pragmatic approach
- Lead the research, development, deployment, and optimization of recommendation and personalization algorithms across product surfaces.
- Partnering with Product, Engineering, and Editorial teams.
Other
- Excellent written and oral communication skills
- Ability to articulate the usage and behavior of models and algorithms to both technical and non-technical audiences
- 5+ years of experience in developing highly scalable machine learning products
- 5+ years writing production-level, scalable Python codes
- MS or PhD in statistics, math, computer science, or related quantitative field
