Join us in enabling the next generation of intelligent experiences in Apple’s products and services with the latest advancements in Generative AI and Large Language Models!

We are seeking a highly skilled Senior Software Engineer to join our dynamic team. This role will focus on designing, building, and maintaining large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. The ideal candidate will have a deep understanding of distributed systems, cloud infrastructure, and ML operations. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives!

You’ll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and deployment. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale ML operations.

Bachelors in Computer Science, engineering, or a related fieldDemonstrated ability in software engineering with a focus on distributed systemsProven experience in building complex micro-servicesExperience with cloud platforms such as: AWS, GCP, or AzureProficiency in programming languages such as Python, Java, or GoIn depth knowledge of distributed systems including: consistency, availability, and fault toleranceExperience with containerization and orchestration technologies (e.g., Docker, Kubernetes)Strong communication and collaboration abilities