Within Apple's Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple's fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness.
As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the worlds most innovative products and experiences. In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections.
Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership.Pursuing an undergraduate (BS/BA) degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or related field
At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn Practical knowledge related to building and adapting algorithms for machine learning, speech, multimodal sensing, and related areas Familiarity with crafting, prototyping, and evaluating interactive systems Excellent mathematical skills in linear algebra and statistics Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations Expertise in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory Ability to collaborate with others Problem solving skills
We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
There’s a place here for every kind of brilliant. Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own. Learn more about working at Apple.