Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Come join the Information Intelligence team at Apple. Guide the products and experiences that our core, groundbreaking technologies in search, natural language processing, and artificial intelligence power. The Apple Services Engineering Video Search Engineering team is looking for an experienced engineer to help build next-generation media search for Apple's groundbreaking devices and platforms, leveraging Machine Learning and Large Language Model (LLM). We are a diverse collective of thinkers and doers, continually reimagining what's possible, to help us all find what we love in new ways. We operate globally in 40+ languages in 170+ countries around the world and power search for Apple TV, Siri, and Spotlight on iOS, macOS, tvOS, and watchOS. We believe privacy is a fundamental human right and this belief is incorporated into everything we build. The same passion for innovation and customer wellbeing that goes into our products also applies to our practices as a company — strengthening our commitment to leave the world better than we found it. Join us to help deliver the next amazing Apple product!
DescriptionAs a member of our fast-paced group, you'll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding search service. This role will include the following responsibilities:
Analyzing search retrieval and relevance requirements, issues, and opportunitiesUnderstanding product requirements, translating them into modeling tasks and engineering tasksDeveloping techniques and building machine learned models for search retrieval and ranking problemsIntegrating search functions into Apple products, such as TV, Siri, and SpotlightBuilding end-to-end production systems including retrieval and ranking to power searchConducting A/B tests to ensure we objectively measure improvementsUtilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processingMinimum Qualifications5+ years of experience in machine learning, deep learning, information retrieval, natural language processing, or data miningMastery of two of the following languages: Python, Go, Java, C++Excellent knowledge and good practical skills in major ML and NLP algorithmsExcellent data analytical skillsExperience with large scale search and machine learning systems is highly desiredExperience with data transformation pipelines and Hadoop, Hive, and/or Impala is a plusFamiliarity with A/B experimentationExcellent interpersonal and communication skillsDeep understanding of search and information retrieval including indexing, query rewriting, retrieval, and rankingExperience building search or recommender systems using LLMsPreferred QualificationsUnderstanding of the Movies/Tv-Shows/Sports or equivalent media businessAt 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 $207,800 and $312,200, 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 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.
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