Research Scientist/ Engineer - Special Projects

We're seeking research scientists/engineers to create breakthrough innovations in machine learning, computer vision, computer graphics, and related areas. We are particularly interested in image and video synthesis, 3D reconstruction, and neural rendering. You will work directly with 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, computer vision, 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:","responsibilities":"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.

Preferred Qualifications

Bachelors, Masters, or PhD Degree in Computer Science/Electrical Engineering or equivalent academic or professional experience.

Research experience in 3D reconstruction, neural rendering, view synthesis, image & video synthesis.

Minimum Qualifications

Publication record in relevant conferences (e.g., CVPR, ECCV, ICCV, ICLR, ICML, NeurIPS, SIGGRAPH, etc).

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.