Research Scientist/Engineer - Special Projects

Santa Clara February 25, 2026 Apple Custom Ats

Summary

We're seeking research scientists and engineers to create breakthrough innovations in machine learning. We are particularly interested in frontier models (LLMs and diffusion models) as well as the interface of AI and science. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences.

Description

We are a team of best-in-the-world research scientists and engineers with deep experience in machine learning. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values:

Minimum Qualifications

Publication record in relevant conferences (eg. NeurIPS, ICML, ICLR, COLM) and scientific journals (Nature, Science, PNAS). Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise. Comfortable across the entire ML research stack, from low-level system programming to high-level algorithm development. Solid software engineering skills in complex systems. Fluency in Python. Expertise in ML algorithms and top practices for working with deep learning systems. Proficiency with ML modeling frameworks (PyTorch, Jax, etc.). Strong overall software development approach. You deliver clean, well-tested code.

Preferred Qualifications

Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering/Mechanical Engineering or equivalent academic or professional experience.
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How to Get Hired at Apple

  • Apple's custom ATS requires extra attention to resume formatting and keyword optimization — don't assume standard ATS tricks will work identically
  • Tailor every application to the specific role and team — with many open positions across vastly different functions, generic applications are unlikely to succeed
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