Aiml - Machine Learning Engineer, Siri & Information Intelligence (Sii)

Seattle, Washington, United States
Machine Learning and AI
The Siri & Information Intelligence team is looking for engineers to build and maintain models for our on-device search technologies. As part of this group, you'll work with our machine learning, natural language processing, and infrastructure teams; optimize your work to run efficiently across Apple's range of products; and build partnerships across Apple in order to deliver great user experiences underpinned by modular, thoughtfully designed software.
Description
In this role, you'll be working to build and support the machine learning basis of Apple's groundbreaking search technology across our entire range of products. You'll work closely with multiple teams across the organization, building durable and reusable technologies written with future evolution in mind. You'll additionally be responsible not only for delivering the latest advances in search to our users, from text to media, but also safeguarding their privacy by using the unique features of Apple devices. Successful candidates must be passionate about machine learning, caring not only about user experience but also the tradeoffs and optimizations required to deliver great mobile experiences. Cross team collaboration is a key part of this position, and you'll be expected to work with our natural language processing, application, and OS framework teams to tailor their technologies for each and every Apple platform and device.
Minimum Qualifications
2+ years of experience in Swift, Python, or other high-level programming languagePrior experience with machine learning (ML) modelingCapable of performing sophisticated analysis of large data setsBachelors in Computer Science or equivalent industry work experiencePreferred Qualifications
Software optimization experience, accompanied by knowledge of profiling tools and techniquesKnowledge and experience in search and indexing technologiesApple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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