What are the responsibilities and job description for the Machine Learning Director, Apple Services Engineering Search position at Apple?
Apple Services Engineering is the team behind some of the best experiences on the planet. When you find the perfect app, listen to the perfect track for your mood, learn something new in a podcast or book, or just sit back with your favorite movie, ASE has you covered. Finding these items in whatever way the user wants to search isn’t as simple as it might seem: “I had a friend was a big baseball player” is a query for Bruce Springsteen’s Glory Days.
ASE Search is advancing the state of the art in media search, over every media type, on every device. Whether you’re typing on iPhone, querying Siri, using Apple TV, or a full MacOS desktop, we will find the item you’re looking for. To do this, we’ve constructed custom catalogs, written custom search and indexing software, incorporating our editorial understanding, created embeddings, and leveraged the latest generative AI technologies.
At the center of this are our product-focused Search teams. This senior leadership position will lead multiple teams running the spectrum from App Store, Music, and Video to Books & Fitness. We’re looking for an engineering visionary, who can both handle the complex operations of some of the most used search systems in the work while also thinking about revolutionary new experiences in the world of GenAI.
As a Director in ASE Search, you will lead multiple product-focused teams across App Store, Music, Video, Books & Fitness. You will be responsible for ensuring the smooth operation of high-usage search systems while simultaneously exploring revolutionary new experiences powered by GenAI.
Minimum Qualifications:
7 years of experience in team management of high-performing engineers.
5 years of experience managing other managers
Proven ability in cross-functional stakeholder management.
Experience with commonly used systems programming languages (e.g., Go, Java, C/C , Rust).
Demonstrated experience in delivering high-uptime critical systems in challenging environments.
Advanced degree in Computer Science or a related field or equivalent work experience.
Preferred Qualifications:
Deep understanding of search technologies and algorithms.
Experience with generative AI and its applications in search.
Strong background in building and scaling distributed systems.
Excellent communication and interpersonal skills.
Proven ability to lead and motivate engineering teams.
Experience working with large-scale data sets.
A passion for creating innovative and user-friendly search experiences.