Job Details

Role Number: 200631342-3760

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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .