Job Details

Role Number: 200571589-3337

Summary

We're seeking research scientists and engineers to create breakthrough innovations
in computer vision, machine learning, robotics, computer graphics, and related areas.
We are particularly interested in photorealistic image synthesis, frontier models
(including large multimodal models), agentic workflows, robotics, and 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 computer vision, machine learning, robotics, computer graphics, and
related areas. 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:

• Passion for the mission: We’re here to make something extraordinary. We seek
  whatever work is right and strive for the best possible results.

• Modesty: The right answer is more significant than being right. We search for
  solutions as a team and value clear-eyed feedback.

• Lean habits: You can’t grow without limits. Time constraints and big goals
  encourage us to sharpen our focus and learn to make phenomenal decisions.

Minimum Qualifications

• Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.

• • Solid software engineering skills in complex, multi-language systems. Fluency in Python.

• • Expertise in ML algorithms and top practices for working with deep learning systems.

• • Proficiency with ML modeling frameworks (PyTorch, Tensorflow, 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) .