Update - As of January 2024, applications for the 2024 Residency Program are closed.

The Apple AIML Residency is a one-year program for graduates with advanced degrees, designed to spur interdisciplinary collaboration and apply it to ML-based solutions to solve new complex problems. The program supports experts in various science, technology, engineering, and mathematics (STEM) fields, as well as emerging ML researchers and engineers as they work collaboratively to create revolutionary machine learning and AI-powered products and experiences.

Our program welcomes a range of candidates including:

  • Master’s degree graduates
  • Recent PhD graduates and postdocs
  • Software and hardware engineers interested in collaborating with research or ML teams
  • Academics seeking a sabbatical to focus on work or research in the ML industry
  • Aspiring professors seeking industry experience

Residents will gain hands-on experience as they join an AIML team for one year and work on high-impact projects that impact future Apple products and features. Residents will learn from an Apple mentor, collaborate with fellow Residents, publish at premier research venues, attend Apple-led and external technical and leadership courses, pursue independent study, and partner with research and development teams across Apple.

See open AI/ML roles here

Related readings and updates.

Apple Machine Learning Research at NeurIPS 2024

Apple researchers are advancing the field of ML through fundamental research that improves the world’s understanding of this technology and helps to redefine what is possible with it. This work may lead to advancements in Apple's products and services, and the benefits of the research extend beyond the Apple ecosystem as it is shared with the broader research community through publication, open source resources, and engagement at industry and…
See highlight details

The 2025 AIML Residency Program Application is Now Open

The Apple AIML Residency is a one-year program for graduates with advanced degrees, designed to spur interdisciplinary collaboration and apply it to ML-based solutions to solve new complex problems. The program supports experts in various science, technology, engineering, and mathematics (STEM) fields, as well as emerging ML researchers and engineers as they work collaboratively to create revolutionary machine learning and AI-powered products and…
See program details