AIML Resident - Machine Intelligence Neural Design (MIND)
Job Description
Summary
Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level!
Description
Apple’s AIML residency is a year-long program inviting experts in various fields to apply their own domain expertise to innovate and build revolutionary machine learning and AI-based products and experiences. As AI-based solutions spread across disciplines, the need for domain experts to understand machine learning and apply their expertise in ML settings grows.
Residents will have the opportunity to attend ML and AI courses, learn from an Apple mentor closely involved in their program, collaborate with fellow residents, gain hands-on experience working on high-impact projects, publish in premier academic conferences, and partner with Apple teams across hardware, software, and services.
As a Resident on the MIND team, you’ll be at the forefront of integrating pioneering LLMs into Apple products. You’ll work on developing innovative modeling-based solutions that improve runtime latency, training efficiency, memory optimization, and decoding speed across Apple's ecosystem. In this project, you’ll focus on crafting efficient multi-modal LLMs and solving unique challenges in image and audio generation. By exploring novel optimization techniques, you’ll push the boundaries of how LLMs handle diverse data representations and ensure fidelity/performance in Apple's next-gen technologies.
Residents will have the opportunity to attend ML and AI courses, learn from an Apple mentor closely involved in their program, collaborate with fellow residents, gain hands-on experience working on high-impact projects, publish in premier academic conferences, and partner with Apple teams across hardware, software, and services.
As a Resident on the MIND team, you’ll be at the forefront of integrating pioneering LLMs into Apple products. You’ll work on developing innovative modeling-based solutions that improve runtime latency, training efficiency, memory optimization, and decoding speed across Apple's ecosystem. In this project, you’ll focus on crafting efficient multi-modal LLMs and solving unique challenges in image and audio generation. By exploring novel optimization techniques, you’ll push the boundaries of how LLMs handle diverse data representations and ensure fidelity/performance in Apple's next-gen technologies.
Minimum Qualifications
- Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. Candidates should have experience completing a moderate-sized software project
- Demonstrated ability to connect and collaborate with others
- Graduate degree in a STEM field or equivalent industry experience in software engineering
- Apple’s AIML residency is a one-year program starting in July 2025. Residents must be available to work full-time (40 hours/week) July 14, 2025 - July 10, 2026
Preferred Qualifications
- Ideal candidates will also have academic, research, or industry experience in at least one of the following: Computer vision, Large Language Models / Generative AI, Machine Learning & ML Research, or LLM Optimization. Thesis, capstone project, internship, co-op, and/or proven experience in these fields qualifies
- We encourage you to submit a cover letter as part of your application explaining: What are your research interests? How do they apply to the specific Residency position you applied to? Why would you would like to join the AIML residency program broadly?
- APPLICATION DEADLINE: DECEMBER 16, 2024
