SummaryPosted: Feb 7, 2025Weekly Hours: 40 Role Number:200590404Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. 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.DescriptionDescriptionLead and collaborate on research into new state-of-the-art methods for adapting large language models to align with individual preferences. Machine Learning Research (MLR) at Apple is looking for a passionate researcher/scientist to develop the next generation of model adaptation strategies to enable efficient and explainable model personalization. You will join a research team dedicated to advancing state-of-the-art in fair, efficient, and explainable model personalization. You will lead academic, curiosity-driven research that is impactful both to the research community via publication at top ML venues, and to Apple by working with product teams to transfer technology that enables personalized experiences for billions of users. We seek a talented researcher who has a deep passion for ML to lead their own research and to collaborate with teams of researchers, engineers, and designeMinimum QualificationsMinimum QualificationsExpertise with machine learning technologies for model adaptation (such as RLHF, RLAIF, DPO)Hands-on experience working with deep learning toolkits (ideally PyTorch)Experience with engineering practices required for working with large models and large datasetsAbility to formulate a research problem and design experiments to appropriately answer research questionsExcellent track record publishing at top ML conferences/journalsExcellent spoken and written communication skillsMSc in Computer Science, or related technical fieldKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsAbility to formulate a research problem, design experiments, implement and communicate solutions.Ability to work in a diverse collaborative environment.PhD, or equivalent practical experience, in Computer Science, or related technical field.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & BenefitsAt 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 $264,200, 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.
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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.