Machine Learning Engineer, Apple Intelligence Platform Cupertino,California,United States Machine Learning and AI Are you interested in contributing to delivering amazing Generative AI experiences that will touch the lives of billions of people? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for an ML Engineer who is passionate about translating expertise in ML and Generative AI into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of the core platform that powers Apple Intelligence on device and on private compute cloud — adapters, speculative decoding, guided generation to name a few. Our team is responsible for underpinning all the Apple Intelligence features we shipped to our customers including Writing Tools, Notification Summaries, ChatGPT integration, Siri and more Our team has a great mix of talent across Machine Learning and Software Engineering. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple! **Description** As a member of this premier team, you will work on the intersection of Machine Learning and Software Engineering with an emphasis on recent developments in Generative AI The position would be ideal for candidates proven hands-on experience with Generative AI inference, prompt optimizations, RAG, decoding strategies and other related areas. You will collaborate closely with several engineering teams at Apple to power exciting Apple Intelligence features and ship them to our customers. **Minimum Qualifications** + Experience writing production software (Swift, C/C++, Obj-C, Python) + Strong fundamentals in Machine learning, speech processing, speculative decoding + B.S, M.S. or PhD in Computer Science or a related field + 3+ years experience in relevant roles **Key Qualifications** **Preferred Qualifications** + Hands-on experience in using open-source ML toolkits, e.g., PyTorch, Tensorflow + Hands-on experience with building Generative AI inference stacks + Excellent communication and organizational skills **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 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. 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) . 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