Privacy is a fundamental human right. At Apple, it’s also one of our core values. We design Apple products to protect your privacy and give you control over your information. It’s not always easy. But that’s the kind of innovation we believe in. If you are the type of person that feels a personal stake in protecting privacy of users, join our Privacy Preserving Machine Learning team. You will play a meaningful role in improving user privacy by building frameworks and algorithms using groundbreaking technology at every level of the technical stack. You will help product and infrastructure teams to ensure user data privacy is a core component in every feature that we ship. Description You will design and implement features on a privacy preserving platform that protects privacy of hundreds of millions of devices. You will use your software engineering skills to build modular and well tested code to prototype cutting edge privacy preserving algorithms. You will work with IETF working groups and research community to prove the robustness of your implementation. You will benchmark your solution to show efficiency and scalability. Embedding with the core team, you’ll work with other software/ML engineers and researchers. You will review designs and code by others and provide constructive feedback, while continuously learning from colleagues. Minimum Qualifications Candidates Pursuing a Masters, MPhi or PhD in Computer Science, or related technical field. Excellent problem solving, critical thinking, and communication skills. Proficient in at least one programming language, preferably including one of Python, Swift or Java. Comfortable working independently to deliver results with minimal direction. Key Qualifications Preferred Qualifications Strong skills in object-oriented software design, developing and testing. Commitment to high quality, well-tested code and automation. Background in Privacy, Multi-Party Computation, Cryptography is a huge plus. Education & Experience Additional Requirements