Sr Machine Learning Engineer, ML Systems Engineering - Proactive

Apple products combine exceptional hardware and incredible software to surprise and delight our customers. The Proactive Intelligence team uses machine learning and agentic AI to deliver personalized user experiences as part of Apple Intelligence. We are seeking extraordinary machine learning engineers with a strong software engineering background to join our team. This is your opportunity to work on the most exciting new technologies to make Apple Intelligence more capable for millions of customers on the iPhone, Mac, Apple Watch, iPad, and more!, We need curious and creative engineers with experience shipping machine learning and agentic systems, together with a proven track record of outstanding software engineering abilities. You should have experience designing, implementing, and evaluating data and machine learning systems on multimodal inputs for production systems. You should be able to plan and conduct experiments and to debug and optimize agentic machine learning applications. You will need to be willing to ask questions, be eager to teach and learn together, and share our 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 amazing software that our customers depend on every day; 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., 4+ 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

Production experience with training, deploying, and evaluating autonomous agentic systems

Production experience working with ML pipelines and large datasets

Experience in resource constrained computing (e.g., embedded systems or mobile development)

Proficient at using AI agent assistance effectively as part of software development workflows