Apple, Internship - Machine Learning (Foundation Models)

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.

Responsibilities

• Research and develop novel approaches for enhancing foundation model capabilities.
• Leverage state-of-the-art, large-scale RL methods to improve reasoning and planning, multi-turn conversations, and general agentic capabilities.
• Design and train agents with tool calling, planning, and API integration to reliably complete tasks.
• Investigate multimodal foundation models spanning text, vision, audio, and other modalities.
• Collaborate on model alignment, safety, and responsible AI practices.
• Contribute to the development of tools and frameworks for foundation model experimentation and evaluation.

Minimum Qualifications

• 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.

Preferred Qualifications

• Excellent problem solving, critical thinking, and interpersonal skills.
• Ability to define and drive ambitious goal-oriented research and development independently.