Research Scientist - LLM Efficiency

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:

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.

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.

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200672455-4170