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Apple AIML- Machine Learning Platform & Infrastructure in Seattle, Washington

AIML- Machine Learning Platform & Infrastructure

Seattle,Washington,United States

Machine Learning and AI

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Do you want to make Spotlight search, Foundation models, Siri and other Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data and have an opportunity to imagine and build products that delight our customers every single day.

Description

We are responsible for Search infrastructure at Apple. We design and build infrastructure to support features that empowers Spotlight and Siri users. We are responsible for the end to end ownership of our pipelines and services, from conception, to design, to implementation, to deployment, to operations. As a result, each one of us takes our responsibilities seriously, while having a lot of fun building the best services at scale we can. We have numerous latency sensitive services, jobs and pipelines that solve problems within Search infrastructure engineering. As part of this team you’ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data. Candidate who joins our team will be responsible for the following * Drive the feature from inception to production launch that will help improve Spotlight Search, Apple Intelligence, Siri & other Apple products. * Work with cross functional teams & stakeholders to solve ambiguous problems. * Build software that improves experimentation and helps team make better decisions about what to try next. * Drive the team & organizational goals & OKRs. * Deliver high quality code & artifacts.

Minimum Qualifications

  • 5+ years of relevant experience.

  • Strong coding skills in any programming language.

  • Strong problem solving skills and ability to write performant and high quality clean code.

  • Quick learner who can pickup new technology stacks, programming languages and be able to deliver features.

  • Experience solving Big Data problems — we have problems that are far too large to fit on a single box, and we need to be able to build tools to solve them.

  • Excellent interpersonal skills; able to work independently as well as in a team; can take feedback and iterate on a solution in a collaborative environment.

  • Our applications are complex and strong programming skills and computer science fundamentals are essential. Whether you have a traditional Masters or PhD in compute science or self-taught or learned some other way, we’d love to talk with you.

Key Qualifications

Preferred Qualifications

  • Experience with cloud platforms such as AWS, GCP, or Azure is a plus.

  • Experience with big data storage systems, data lake, data pipelines is a plus.

  • Experience building Kubernetes based jobs & services is a plus.

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 $166,600 and $296,300, 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)

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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 (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) .

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Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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