Software Engineering • Mid-Level

Who you are

You have a BS/MS in computer science or equivalent experience and at least 2 years of programming experience in Python, Java, or Go. Your background includes working with Kubernetes and Docker, showcasing your ability to manage container orchestration frameworks effectively. You possess strong troubleshooting skills, particularly in complex production environments, and are comfortable reading and explaining open-source codebases. Your proactive nature drives you to improve operational challenges and conduct performance analysis on large-scale distributed systems.

What you'll do

As a Software Engineer in the Applied Machine Learning team at Apple, you will work on projects related to GenAI, ML, Inference, and Big Data platforms. Your responsibilities will include building and operating large-scale platforms that leverage cutting-edge open-source technologies across hybrid cloud environments. You will collaborate with multiple teams to understand complex architectures and contribute to the deployment and management of CI/CD pipelines. Your role will also involve troubleshooting complex production issues and improving system performance.

What we offer

At Apple, you will be part of a team that is at the forefront of digital transformation through machine learning. We provide a collaborative environment where you can grow your skills and tackle interesting challenges. You will have the opportunity to work with a diverse set of technologies and contribute to business-critical needs across Apple's enterprise ecosystem.