Internship - Privacy Preserving Machine Learning Engineer

Summary

Application Deadline - 31st January 2026

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 Measurements and 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 that learn crucial insights from hundreds of millions of devices while preserving user privacy. 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 the 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

• Pursuing a PhD in Computer Science, Engineering, Maths or related technical field.
• Strong skills in object-oriented software design, developing and testing. Proficient in at least one programming language, preferably Python.
• Proficient in common machine learning and deep-learning frameworks such as PyTorch, Tensorflow.
• Comfortable working independently to deliver results with minimal direction.

Preferred Qualifications

• Excellent problem solving, critical thinking, and communication skills.
• Background in Privacy, Federated Learning (FL), Multi-Party Computation, Trusted Compute is a huge plus.
• Oriented towards practical solutions that can be proven empirically, as opposed to theoretical research.

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more