Staff / Sr. ML Infrastructure Engineer, ML Compute

Role Number: 200599667-3337 Summary Apple is where individual imaginations gather together, committing to the values that lead to great work Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each otheru2019s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. Itu2019s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, youu2019ll do more than join something u2014 youu2019ll add something Description As part of the ML Compute team, you will be at the heart of designing, building, and maintaining the compute infrastructure that enables model training, tuning, and other ML tasks for machine learning, artificial intelligence, and computer vision applications. Make an impact by shaping and owning critical compute components, and be proud to contribute to the infrastructure that enables intelligent experiences across all Apple products and services, used by billions of people worldwide. Minimum Qualifications + Bachelor in Computer Science + 7+ years of industry related experience, working in collaborate environments + Experience with GPUs and/or other ML accelerators in the context of Machine Learning + Experience with public cloud infrastructure like: Kubernetes, Amazon EC2 and EKS, Google Cloud Platform + Strong software development skills, with proficiency in relevant languages (ex. Golang, Python) + Strong problem solving skills and ability to write performant and high-quality code + Proficient understanding of the software development process, including unit testing and release management + Excellent interpersonal skills; able to work independently as well as in a team; can take feedback and iterate on a solution in a collaborative setting Preferred Qualifications + Strong understanding of batch scheduling systems and high-performance computing environments + Experience using system monitoring tools, automated testing frameworks and CI/CD pipelines + A passion for making simple, robust, and scalable platforms used by other engineering teams + Flexibility/adaptability for working in a dynamic environment with different frameworks and requirements + Masters or PhD in Computer Science Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (.

Created: 2026-01-29