Senior Machine Learning Engineer - ASE Enterprise Seattle,Washington,United States Software and Services Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to work on products that are used globally every single day? Do you love applying machine learning methodology to solve novel problems? Do you want to have significant cross-team impact while working hand-in-hand with great people across Engineering, Research, User Experience, Marketing, and Product? If so, we want you to join our diverse and talented team! Apple's Enterprise Intelligence team is looking for an innovative and passionate machine learning engineer to contribute to the Enterprise platform, as best seen in Apple School Manager, Apple Business Manager, and Schoolwork. Our team's mission is simple: help people work together—and with our devices—at scale, whether that means a school district, a small business, or a Fortune 500 company. We’ve got big ambitions and your work will be instrumental to realizing them and delivering great products to our users. **Description** As a machine learning engineer on our team, you'll engage with business, product, and design teams to identify new opportunities and translate them into innovative AI/ML solutions. Your work will involve a prototype-driven workflow, where you'll iterate quickly to reach consensus with stakeholders. You'll be working closely with internal teams to collect, clean, and analyze data to train and evaluate your models. Your expertise in communicating your results and insights with clear and actionable recommendations for our partners and leadership will help empower strategic decision-making for our products and the users we serve. Additionally, you'll research and present the latest trends, technologies, and best practices in AI/ML and Generative AI to enhance our technical capabilities. If you thrive in a collaborative environment and are passionate about leveraging AI/ML to solve applied problems, we'd love to hear from you! **Minimum Qualifications** + PhD or MS in Computer Science, Artificial Intelligence/Machine Learning, or other similar quantitative field with 3+ years industry experience OR 5+ years of related work experience + Experience in industry building end-to-end machine learning applications + Preparing and collecting data for training/analysis and ensuring data quality + Experience in one or more of the following machine learning areas: Computer Vision, NLP, Generative AI, Document Analysis, or similar + A collaborative and proactive mindset and strong interpersonal skills **Key Qualifications** **Preferred Qualifications** + Proficiency with Python and PyTorch + Proficiency with Swift and iOS app development + Hands on experience with large language models (LLMs) + Experience in applying machine learning in enterprise or education applications **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 $166,600 and $296,300, 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) . 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) .