AIML-Senior Backend Software Engineer, Measurement

Apple's Measurement organization is seeking a Senior Backend Software Engineer to join their mission of measuring, understanding, and improving all Apple features. This role presents an exceptional opportunity to work at the intersection of machine learning and large-scale systems, impacting over 2 billion devices worldwide.

The position involves building cutting-edge online Experimentation platforms that empower Apple engineers in delivering outstanding user experiences. You'll be at the forefront of accelerating ML adoption across all Apple operating systems and products/services, working on complex, challenging, and highly visible projects.

As a senior engineer, you'll be responsible for designing and implementing features for both on-device and hybrid device/server ML workflows. Your work will include building services that can roll out or roll back experiments to billions of devices within hours and developing highly scalable systems capable of processing billions of events daily. The role requires technical leadership, as you'll be setting direction for the team and mentoring junior engineers.

The ideal candidate brings strong expertise in scalable micro-services, object-oriented programming (Java/Python), and modern technologies like Kubernetes and Kafka. Experience with SQL/NoSQL databases and online experimentation systems is crucial. You'll work in a collaborative environment, partnering with data scientists and OS engineers to build data applications that provide reliable and timely insights for Apple's most exciting products and services.

The compensation package is competitive, including a base salary range of $135,400 to $250,600, plus additional benefits such as stock options, comprehensive healthcare, and educational support. This role offers the unique opportunity to work on ML platforms at unprecedented scale while contributing to Apple's mission of creating technology that enriches people's lives.

If you're passionate about large-scale systems, machine learning, and want to make an impact on billions of users while working with cutting-edge technology, this role offers an exceptional opportunity to grow your career at one of the world's most innovative companies.