Machine Learning Engineer - Apple Services Engineering

Machine Learning Engineer - Apple Services Engineering Cupertino,California,United States Software and Services 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 ground breaking 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 Description As 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 opportunities Understanding product requirements, translate them into modeling tasks and engineering tasks Developing techniques and building machine learned models for search retrieval and ranking problems Integrating search functions into Apple products, such as TV, Siri and Spotlight. Building end-to-end production system including retrieval and ranking to power search Conduct A/B tests to ensure we objectively measure improvements Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing Minimum Qualifications 5 years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining Mastery of two of following languages: Python, Go, Java, C++ Excellent knowledge and good practical skills in major ML and NLP algorithms Excellent data analytical skills Experience with large scale search and machine learning systems is highly desired Experience with data transformation pipelines and Hadoop, Hive, and/or Impala is a plus Familiarity with A/B experimentation Excellent interpersonal and communication skills Deep understanding of search and information retrieval including indexing, query rewriting, retrieval and ranking Experience building search or recommender systems using LLMs Key Qualifications Preferred Qualifications Understanding of the Movies/Tv-Shows/Sports or equivalent media business 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 $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 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) .