Video Content Machine Learning Lead

Apple • Cupertino, CA

14h

About The Position

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.

Requirements

• 4+ years of experience in a Machine Learning Engineer or Applied Scientist role, preferably for an internet technology company
• 4+ 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

Nice To Haves

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees