Large Language Model Machine Learning Engineer Seattle,Washington,United States Machine Learning and AI The VCV-Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products. **Description** We are looking for a strong ML applied scientists and engineers to build ground breaking AI infrastructures to power the infrastructures that Apple in-house ML experts use everyday to optimize models shipped on devices and servers for Apple Intelligence. We are part of a collaborative group of software developers and deep learning authorities working in the area of neural network optimization, on device inference, and model evaluation. You will work with world-class talents in visualization, LLM training, on-device optimization, ML tools/platforms. You will develop reliable and scalable web services for ML developers: e.g., model optimization pipeline, effective ML dev workflow, infrastructure to serve internal service. **Minimum Qualifications** + Experience developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models. + Software engineering skills in Python and general purpose system admin and infrastructure management abilities. + History of applied research in neural network model life cycle or training or a related area application. + Track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment. + BS degree and 3+ years of proven experience. **Key Qualifications** **Preferred Qualifications** + Publication record at top AI/ML venues. + Experience with LLM LoRA fine-tuning, neural network optimization (e.g. quantization and compression). + Experience with on-device/server scale deployment. + Experience with languages like C/C++. + Infrastructure management and debugging experience. + Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms. + Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities. + PHD in related 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 $135,400 and $250,600, 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) .