Sr Machine Learning Engineer, Proactive - ML Systems Engineering

Apple·Cupertino, California, United States·posted 2d ago · last seen 34m ago

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About interviewing at Apple

One of tech's least standardized loops: you interview for a specific team, and every stage belongs to it. Recruiter/hiring-manager screen, one to three 45–60 minute Coderpad coding screens, a system design round shaped by Apple's reliability and privacy constraints, and a behavioral round — then a panel debrief. There is no central question bank; questions map to the team's real stack.

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Description

Summary

Apple’s products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer’s needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users’ devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we’re making Apple Intelligence more capable and personalized to surprise and delight our millions of customers on the iPhone, Mac, Apple Watch, iPad, and more!

Description

We are seeking passionate, creative, and curious engineers with experience shipping machine learning systems and a proven track record of outstanding software engineering abilities. We need your expertise to invent the future by integrating new features with highly complex systems. You will need to learn and deeply understand the way Apple’s software operates in order to deliver new capabilities and features. The most successful engineers ask questions, are eager to teach and learn together, and share a common belief that that we can surprise and delight our customers with personalized intelligent experiences in all of Apple’s products. Join us to benefit the lives of hundreds of millions of people around the world!

Key Responsibilities

As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit to engineering excellence by upholding best practices that enable us to move quickly with confidence; obsess over the user experience first, and learn the power of story telling to communicate complex ideas; and develop innovative tools and techniques that change the way we look at problems. Join the Proactive Intelligence team to create the future of intelligent experiences across our entire lineup of devices iPhone, iPad, HomePod, Mac, Apple Watch, AppleTV, and more!

Minimum Qualifications

3+ years of experience building production machine learning systems Proficiency in Python programming Proficiency in at least one compiled language like C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust

Preferred Qualifications

Experience working with ML pipelines and large datasets in production environments Experience in resource constrained computing (e.g., embedded systems or mobile development)

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