AI/ML - Intern (Private Federated Learning - Machine Learning Engineer), MLPT

Summary Posted: Oct 27, 2022 Weekly Hours: 35 Role Number:200412101 As part of Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. Some people believe that in order to build insightful data analytics you need to sacrifice privacy. We see this as an opportunity to innovate. If you are passionate about privacy and analytics, we need your help! Key Qualifications

• Strong skills in object-oriented software design and programming. Proficient in Python/Java or functional languages.
• Comfortable working independently to deliver results with minimal direction.
• Oriented towards practical solutions that can be proven empirically, as opposed to theoretical research.
• Excellent problem solving, critical thinking, and communication skills.
• Background in either of Machine Learning, Federated Learning, Distributed Systems, Differential Privacy or Statistics.
• Commitment to high quality, well-tested code, and automation.

Description You will design and implement features for private federated learning that will benefit millions of Apple users worldwide; work with ML and software engineers to perform empirical analysis, enhance existing ML/FL frameworks and make experimental features viable for production-readiness. You will review designs and code by others and provide constructive feedback. You will share your expertise while continuously learning from colleagues. You will optionally collaborate with world-class privacy and ML researchers, and have the opportunity to publish your work bolstered with results from real-world use-cases at Apple. Education & Experience Pursuing a Masters or PhD in Computer Science, or related technical field. Additional Requirements

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace