Research Scientist/Engineer - LLM Efficiency

Summary

We're seeking research scientists and engineers to create breakthrough innovations in machine learning. We are particularly interested in efficiency of frontier models, including LLMs and diffusion models. 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 several key values:

* Passion for the mission: We're here to make something extraordinary. We seek out whatever work is right and strive for the best possible results.
* Modesty: Finding the right answer is more important 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.

Responsibilities

Designing, training, and adapting frontier models to improve efficiency and performance.
Designing and conducting empirical studies to better understand frontier models.
Developing prototypes to demonstrate the effectiveness of the models and algorithms developed.
Engaging with the academic community by publishing papers and presenting your work.
Collaborating with product teams across Apple to ship research.

Minimum Qualifications

Significant experience building complete prototypes that achieve state-of-the-art performance in your areas of expertise.
A publication record at relevant conferences, such as NeurIPS, ICML, ICLR, and COLM.
Comfort working across the entire ML research stack, from low-level systems programming to high-level algorithm development.
Solid software engineering skills and experience working with complex systems. Fluency in Python.
Expertise in ML algorithms and best practices for working with deep learning systems.
Proficiency with ML modeling frameworks such as PyTorch and JAX.

Preferred Qualifications

A bachelor's, master's, or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent academic or professional experience.

Pay & Benefits — Santa Clara, California, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.