Sr Machine Learning Engineer, ML Systems Engineering
Senior • On-site
Pittsburgh, PA
Summary
Posted:
Weekly Hours: 40
Role Number:200592769
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 machine learning engineers with a strong software engineering 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 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.
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
MS in Computer Science or equivalent practical experience
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 with at least one ML framework like JAX, Keras, TensorFlow, Pytorch; XGBoost, LightGBM; or Scikit-learn
Experience in resource constrained computing (e.g., embedded systems or mobile development)
Apple 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. Learn more about your EEO rights as an applicant.
Apple
Apple Inc. nestled in Cupertino, California, stands as a titan in the technology realm. Born in 1976, thanks to the visionary trio—Steve Jobs, Steve Wozniak, and Ronald Wayne—Apple initially made waves with personal computers. Fast forward, and their repertoire now brims with a myriad of consumer electronics, software, and services. With a market cap often soaring beyond $2 trillion, Apple consistently ranks among the globe's most valuable companies, boasting impressive revenues and profit margins. Apple's relentless pursuit of innovation, coupled with a design philosophy centered around user experience, has cemented its legacy. Recent investments in augmented reality, artificial intelligence, and health technology further illustrate its commitment to the future. Even as it faces stiff competition, Apple continues to set benchmarks in both design and functionality, making it a cornerstone of the tech industry.