Play a part in building the next revolution in machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

Description:

You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research.

In this role, you will have the opportunity to define and pursue a research agenda focused on fundamental problems in machine learning, including efficient training algorithms and models with fast inference, especially with multi-modal, multi-task, and reasoning capabilities. You will advance our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple.

Preferred Qualifications:

Ability to formulate a research problem and design, experiment, implement, and communicate solutions.

Ability to work in a diverse, collaborative environment.

High-quality open-source contributions to related projects.

Strong presentation skills for internal and external communications.

Minimum Qualifications:

Demonstrated expertise in machine learning research.

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

Strong hands-on experience working with Python and deep learning toolkits such as Py Torch.

Strong mathematical skills in linear algebra and statistics.

PhD or equivalent practical experience in Computer Science or a related technical field.

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 .

Pay & Benefits:

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 $181,100 and $318,400, 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.