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Senior machine learning platform engineer, Evaluation & Privacy
Apple
- Location
- Onsite (Cupertino, California)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week ago
About the Role
Join Apple's Privacy Preserving Machine Learning team to build amazing products while upholding a commitment to user privacy. You will collaborate with engineers and scientists across various Apple products to integrate their machine learning investigations onto our platform, designing systems that enhance features for billions of devices while protecting user privacy.
Skills
Python
Swift
Distributed Systems
Machine Learning
Privacy-Preserving Machine Learning
Differential Privacy
Secure Multi-party Computation
Private Federated Learning
PII Redaction
Software Design
Model Deployment
Problem Solving
Full job details
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. Join us and help build amazing products while our commitment to 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.
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.
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.
Description
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.