AIML - Sr Machine Learning Engineer, DMLI

AIML - Sr Machine Learning Engineer, DMLI Cupertino, California, United States Machine Learning and AI We are looking for talented machine learning engineers who are excited to tackle some of the most meaningful and technically challenging problems in building and deploying foundation model–based products for our customers.As a Machine Learning Engineer focused on foundation model evaluation, you will play a critical role in assessing the capabilities of the models that power Apple Intelligence features.You will work closely with machine learning researchers to translate evaluation insights into actionable improvements that advance future model performance. Description As a foundation model evaluation Machine Learning Engineer, you will be entrusted with ensuring that foundation model performance can be measured quickly and reliably, in order to support crucial model shipping decisions.You will design, implement, and maintain crucial evaluation infrastructure.You will collaborate extensively with ML researchers on both model hillclimbing and developing novel methodologies for measuring model performance.Your responsibilities will span a number of high-impact parts of the Apple product and foundation model lifecycle. Responsibilities Ensure the stability, reliability, and performance of Apple's foundation model evaluation system. Design and implement novel evaluation methodologies. Help design and implement tooling to simplify metrics generation, ingestion, and reporting. Leverage agentic LLM systems to facilitate and improve model evaluations. Minimum Qualifications 5+ years of hands on ML engineering experiences, with at least 1+ years working directly on large language models or generative AI. Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field — or equivalent practical experience. Strong software engineering fundamentals: debugging, testing, code reviews, and production reliability / scalability. Hands-on experience with LLM training and / or evaluation workflows, including any of the following: pre-training, post-training, online evaluation, offline evaluation, automated evaluation, human evaluation. Preferred Qualifications Hands on experience with evaluating large language models at scale or designing large language model benchmarks. Strong communication skills, able to clearly and concisely convey important information. Self-motivated and curious. Strive to continually learn on the job. High level of creative and critical thinking skills with an innate drive to improve how things work. Have a high tolerance for ambiguity and the ability to identify the most important problems to solve. 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 $150,400 and $277,600, 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 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 seek to promote 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 At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr Apple