Software Engineer, Machine Learning & AI

SummaryPosted: Weekly Hours: 40 Role Number:200576747Are you passionate about Machine Learning and Al, and eager to apply your expertise to solve real-world problems at scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more? Come join us in applying ML and Al techniques across Apple's hardware portfolio, helping bring amazing, game-changing products and innovations to life. We are the Ecosystem Tools team, and we build software supporting the development of Apple's unparalleled hardware product line. Our software is used by both Apple engineers and third-party accessory manufacturers to develop and debug their systems and accessories, with high visibility throughout the company. If you're excited by writing efficient, testable, and robust code that makes a real difference, we can't wait to hear from you!DescriptionAs a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and Al. The software you build will be instrumental in applying ML and Al to solve problems, provide insights, and drive decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we're building the most effective solutions possible. Your main responsibilities include: • Write high-quality code that's testable, scalable, and able to be maintained by others in the • Collaborate across teams and organizations to distill complex requirements into a concrete action plan • Research new ML and Al techniques and come up with innovative ways to apply them to new and existing problems for our customers • Lead design reviews, author documentation, and give meaning feedback on the designs of peers • Represent your work to the team and leadership through demos, presentations, and retrospectivesMinimum Qualifications2+ years experience in web and/or native application developmentMachine Learning and/or Al expertiseExcellent written and verbal communication skills with both technical and non-technical audiencesCuriosity to learn new technologies and passion for sharing that knowledge withPreferred QualificationsProficiency in Python or other object-oriented programming language(s)Experience with LLMs, training ML models, and building RAG pipelinesDemonstrated ability to architect complex systems in a reusable, modular wayPay & BenefitsAt 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 $121,900 and $183,600, 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 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.