AIML - Machine Learning Researcher, MLR Cupertino,California,United States Machine Learning and AI Play 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. **Description** Lead 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 designe **Minimum Qualifications** + Expertise 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 datasets + Ability to formulate a research problem and design experiments to appropriately answer research questions + Excellent track record publishing at top ML conferences/journals + Excellent spoken and written communication skills + MSc in Computer Science, or related technical field **Key Qualifications** **Preferred Qualifications** + Ability 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 & Experience** **Additional Requirements** **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 $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 (https://www.apple.com/careers/us/benefits.html) 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.