Senior Machine Learning Platform Engineer, Evaluation & Privacy

What you'll do

• Design, build, and operate platforms supporting privacy-preserving machine learning training and evaluation.
• Develop private federated learning systems that run across millions of user devices.
• Scale distributed training and evaluation infrastructure for a growing portfolio of products.
• Transition novel privacy-preserving algorithms from research prototypes into production-grade systems.
• Partner with product teams to ensure features meet Apple's high privacy standards.
• Build software that runs on autonomous systems like the iPhone.
• Manage large-scale distributed backends and device runtimes for machine learning capabilities.

What we're looking for

• Bachelor's degree or equivalent experience in Computer Science or a related technical field.
• Master's degree or PhD in Computer Science, Software Engineering, or a related technical field is preferred.
• 2+ years of industry experience.
• 5+ years of industry experience is preferred.
• Proficiency in one or more programming languages such as Python and Swift.
• Experience building software for autonomous systems like iPhone that runs in the background or on a schedule.
• Experience designing and operating distributed systems at scale.
• Experience with privacy-enhancing technologies, machine learning deployment, or federated learning is preferred.