We are looking for a machine learning research intern with passion to spearhead new solutions to challenging problems in foundation model development with an emphasis on agentic capabilities and Reinforcement Learning. You will closely work with an applied ML team of around 35 engineers in Zurich, and get the chance to connect with other experts in the US.
During your internship, you will do research and development in the context of Apple foundation models that power next-generation AI experiences across Apple’s platforms. You will learn what is relevant to transfer results from machine learning research to meaningful real-world performance at scale. Your work can contribute to Apple Intelligence and be shipped to billions of devices, worldwide.
Excellent problem solving, critical thinking, and interpersonal skills.
Ability to define and drive ambitious goal-oriented research and development independently
PhD student in Machine Learning (Computer Science, Electrical & Computer Engineering, Statistics, Math, Natural Sciences, or other related fields)
Strong background in Reinforcement Learning and Deep Learning, with hands-on experience training large models, in particular LLMs
Experience with training methodologies including pre-training, fine-tuning, and alignment approaches
Strong programming skills. Most relevant are Python, PyTorch, and JAX
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
