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Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. 

The Ad Platform Decisioning and Machine Learning Platform team is under Ad Platforms and its mission is to enhance advertising and Disney's ad platform with machine learning and AI. We build solutions to find and decide every bit of potential for better advertising results. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data processing to microservices. Our team is seeking a Sr Software Engineer who will be an important team member for our advertising machine learning platform, which focus on prediction and optimization engines for Disney’s addressable ad platforms. The right person for this role should be experienced in machine learning technologies as well as solid in backend services. If you are someone who is proactive, inquisitive, and innovative in these domains, this is a phenomenal role for you! 

WHAT YOU’LL DO 

• Build next-gen machine learning platform for advertising decisioning to fit evolving business needs 

• Build next-gen platform to apply state-of-the-art AI based solutions for complicated ad challenges and to further enhance business performance 

• Develop scalable and efficient approaches for large scale data analysis 

• Collaborate with researchers to productize cutting edge innovations 

• Design scalable distributed systems with performance, scalability, reusability and flexibility  

• Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated test 

• As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing. 

• Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment 

WHAT TO BRING 

• Bachelors degree in computer science or related field of study 

• 5+ years of professional programming and design experience in Java, Python, Scala, etc. 

• Knowledge for AI/ML technologies and typical technical stacks  

• Experience of building industry level high available and scalable micro-service 

• Knowledge of system, application design and architecture 

• Knowledge of big data processing and bigdata technologies 

• Passionate about understanding the ad business and seeking innovation opportunities to enhance business effectiveness. 

• Passionate about technology, and open to interdisciplinary collaborations 

NICE-TO-HAVES 

• Domain knowledge about advertising 

• Experience with machine learning platforms like TensorFlow, Kubeflow, PyTorch, Databricks, AWS SageMaker, etc. 

• Experience with GenAI technologies and LLMs 

• Experience with feature store, audience segmentation and MLOps 

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