Video Content Machine Learning Lead

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. Our team is looking for a Machine Learning Engineer to help support the Video business teams (including TV+) with ML-driven solutions for insights on content performance, strategy, and customer experience in the TV app. As a key member of our diverse and multi-faceted organization, we have the rare and exciting opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. We work collaboratively with partners across Business, Marketing, Product and Engineering daily to deliver material customer and business value.

Description

Provide insights to support decision-making for business and creative teams working on Apple’s Video products, including Apple TV+. Inform our understanding of how users find and engage with content and our subscription services. Help define Engineering & BI requirements for new datasets and data products to support new feature and content releases. Collaborate with the rest of our data science organization supporting various initiatives to ensure a comprehensive understanding of the Video business, enriching our team’s output with ML-driven insights. Build machine learning models to predict business outcomes and drive operational decision-making. Work closely with TV+ and Sports leads to advise their roadmap and content strategy.

Minimum Qualifications

3+ years of experience in a Machine Learning Engineer or Applied Scientist role, preferably for an internet technology company. 3+ years experience employing statistical methods to tackle business problems related to classification, segmentation, and forecasting. Familiarity with a broad range of Machine Learning techniques and relevant statistical packages to engineer Machine Learning solutions end-to-end. Experience in contributing to production code bases. Ability to rapidly prototype algorithmic ideas in notebook environments and translate them into production code. Demonstrated ability to apply data science techniques to find answers to ambiguous real-world questions in a changing environment and communicate them to stakeholders. Comfort working cross-functionally across multiple teams, including both technical and non-technical partners. Strong interpersonal and communication skills. Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field.

Preferred Qualifications

Experience in media or entertainment industry. Passion for film, television, and/or Sports domains. Hands-on experience with app-based engagement and clickstream data. Experience with distributed computing frameworks like Spark. Masters or PhD degree in Computer Science, Statistics, Mathematics, Engineering, or related field.