Summary

Posted: Nov 20, 2024

Role Number:200575007

Imagine what you could do here! At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning research with next-generation hardware, our teams take user experiences to the next level!

Description

Apple's AIML residency is a year-long program inviting experts in various fields to apply their own domain expertise to innovate and build revolutionary machine learning and AI-based products and experiences. As AI-based solutions spread across disciplines, the need for domain experts to understand machine learning and apply their expertise in ML settings grows. Residents will have the opportunity to attend ML and AI courses, learn from an Apple mentor closely involved in their program, collaborate with fellow residents, gain hands-on experience working on high-impact projects, publish in premier academic conferences, and partner with Apple teams across hardware, software, and services. Play a part in building the next revolution of machine learning technology that will change the way people interact with machine learning solutions at Apple. Our ML Research team is looking for a passionate resident to conduct research in human biases and algorithmic fairness in ML - including methods to discover, explain and mitigate biases in Large Language Models. As a member of our team, you will work on some of the most ambitious technical problems, collaborate with world-class machine learning engineers and researchers, develop new ML solutions that will impact future Apple products, and publish in international conferences.

• Proficiency in Python or a strong programming background in C++, Objective-C, or Swift. Candidates should have experience completing a moderate-sized software project
• Demonstrated ability to connect and collaborate with others
• Graduate degree in a STEM field or equivalent industry experience in software engineering
• Apple's AIML residency is a one-year program starting in July 2025. Residents must be available to work full-time (40 hours/week) July 14, 2025 - July 10, 2026

• Ideal candidates will also have academic, research, or industry experience in at least one of the following: Fair and Responsible AI, Cognitive Science, Linguistics, or Machine Learning Research. Thesis, capstone project, internship, co-op, and/or proven experience in these fields qualifies
• We encourage you to submit a cover letter as part of your application explaining: What are your research interests? How do they apply to the specific Residency position you applied to? Why would you would like to join the AIML residency program broadly?
• APPLICATION DEADLINE: DECEMBER 16, 2024

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 $143,100 and $214,500, 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.

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.