SummaryPosted: Jan 21, 2025Weekly Hours: 40 Role Number:200586744Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple's Manufacturing Systems and Infrastructure (MSI) team is responsible for capturing, consolidating and tracking all manufacturing data for Apple’s products and modules worldwide. We are a multi-functional team, tackling challenging software engineering problems across a broad range of Apple manufacturing services. You'll be leading innovation by exploring, investigating, recommending, benchmarking and implementing full stack technologies for the platform. This data is used throughout the company and the product's lifecycle: from the very beginning, to validate that units being built are fully tested and of high quality before leaving the factory, all of the way through to warranty support for customers. Apple's MSI team is seeking a Full-Stack Software Engineer who possesses a real passion for developing extraordinary products with a deep appreciation for user experience. DescriptionDescriptionIn this role you will be responsible for defining and developing ML Platform infrastructure and frameworks for generative AI powered applications at Apple Product Operations You will be responsible in crafting, developing and maintaining our large-scale systems, storage, and integration services You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers and product managers You will work closely with the SRE team and develop monitoring and alerting on various applications and systems integrations. You will have the opportunity to learn and work on the latest technologies, lead POCs to demonstrate new ideas and influence the future direction of our technology stackMinimum QualificationsMinimum Qualifications7+ years of experience in developing large scale distributed computing systems and LLM agent development and other related frameworks like Langchain, LLamaIndex, LangGraph, Crew.ai, AutoGenBS or MS degree in Computer Science, Mechanical Engineering, or related field.Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsStrong software development, problem-solving and debugging skills with experience in one or more of the following languages: Java, Python, GoStrong proficiency in LLM, embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphsExperience with LLM agent development and other related frameworks like Langchain, LLamaIndex, LangGraph, Crew.ai, AutoGenExperience in Prompt Engineering and the implementation of robust security measures for LLM applicationsFamiliarity with workflow engines like Airflow is a plus.Experience building cloud native platforms using containerization technologies like Kubernetes, docker, helm and well versed in AWS/GCP or AzureIdeally 5+ years of experience in crafting, implementing and supporting highly scalable systems.Adept at quickly grasping and distilling highly complex matters into clean, understandable solutionsSelf directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issuesAbility to thrive in a multi-functional team on high profile, critical projectsCandidate should be able to initiate and explore alternate technology and approaches to solving problems.Strong communication and Collaboration skills.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & 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 $175,800 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 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.
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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.