Senior machine learning platform engineer, Evaluation & Privacy

In this role you will work with engineers and scientists across many Apple products to bring their machine learning investigations onto our platform for privacy-preserving machine learning. You will partner with them to understand the goals of each feature and the data required to improve the experience, then design the systems that turn those investigations into production capabilities. The results of this work will be better features deployed to billions of devices, all while protecting the privacy of every person using them. Minimum Qualifications 2+ years of industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field. Proficiency in one or more programming languages such as Python and Swift. Experience building software that runs in the background or on a schedule on largely autonomous systems like iPhone — not as a self-contained app. Experience designing and operating distributed systems at scale. Strong problem-solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company. Preferred Qualifications Passion for customer privacy. Experience with privacy-enhancing technologies such as differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks. Experience training, evaluating, and deploying machine learning models to production. 5+ years of industry experience. Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.