AIML Resident - Data Operations Capacity Planning & Analytics

Apple's AIML Residency is a year-long program for experts to apply their domain expertise to machine learning and AI products. Residents will attend ML/AI courses, learn from mentors, collaborate, gain hands-on experience on high-impact projects, and publish. The Data Operations Capacity Planning & Analytics team focuses on demand forecasting, capacity modeling, analyst optimization, and data products, with opportunities to develop agent-based workflows using LLMs to improve automation.

Must Have

• Proficiency in a programming language (Python, Objective-C, C++, Swift, and/or R)
• 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
• Available to work full-time (40 hours/week) July 13, 2026 - July 9, 2027
• Graduate before July 13, 2026 if currently enrolled in a degree program

Good to Have

• Academic, research, or industry experience in Information Extraction
• Academic, research, or industry experience in Distributed Systems
• Academic, research, or industry experience in Large Language Models / Generative AI
• Academic, research, or industry experience in Search and Information Retrieval
• Submit a cover letter explaining research interests, application to the specific Residency position, and why join the AIML residency program broadly

Perks & Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses (including tuition) for formal education related to advancing your career
• Opportunity to become an Apple shareholder through participation in discretionary employee stock programs
• Eligibility for discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount through the Employee Stock Purchase Plan
• Eligibility for discretionary bonuses or commission payments
• Eligibility for relocation

Imagine what you could do here! At 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.

The 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 fields, 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 a 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 teams across hardware, software, and services. Data Operations Capacity Planning & Analytics operates in the data annotation / labeling space, providing internal services such as demand forecasting, capacity modeling scenarios, analyst utilization optimization, headcount planning, data products, metrics reporting, ad hoc analysis, and modeling & experimentation. In service of these topics, you will have the opportunity to work on developing and building agent based workflows using LLMs to optimize internal processes, and improve automation.

• Proficiency in a programming language such as Python, Objective-C, C++, Swift, and/or R. 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
• The AIML residency is a one-year program starting in July 2026. Residents must be available to work full-time (40 hours/week) July 13, 2026 - July 9, 2027. Additionally, applicants who are currently enrolled in a degree program must graduate before this program commences on July 13, 2026

• Ideal candidates will also have academic, research, or industry experience in one of the following: Information Extraction, Distributed Systems, Large Language Models / Generative AI, or Search and Information Retrieval. 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 15, 2025

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 $139,500 and $210,100, and your base pay will depend on your skills, qualifications, experience, and location.

Employees also have the opportunity to become a shareholder through participation in discretionary employee stock programs. Employees are eligible for discretionary restricted stock unit awards, and can purchase stock at a discount if voluntarily participating in the 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, 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 Benefits.

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

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 .

Accepts applications to this posting on an ongoing basis.