AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructuremagine what you could do here.
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 Siri and 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, Messages and Lookup.As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
Description
We design and build infrastructures to support features that empowers billions of Apple users.
Our team processes trillions of web links to select and crawl the most relevant content to surface to users through search.
As part of the team, you'd be responsible for devising the algorithms to recommend most relevant urls for different search products, classifying the quality of the content and continuously deriving the signals from the content to enhance the system further.
We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others.
We take full end-to-end ownership of our services, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance.
As a result, each one of us takes our responsibilities seriously.
In this team, you'll have the opportunity to work on incredibly complex large scale systems with trillions of records and petabytes of data.
Minimum Qualifications
MS or PhD in Computer Science or equivalent experienceStrong coding skills and experience with data structures and algorithmsExcellent interpersonal skills able to work independently as well as cross-functionallyExperience with machine learning algorithms and toolsExperience with petabyte scale data processing & building data pipelinesExperience with AWS Services such as Amazon S3 EC2 EKS / KubernetesPreferred QualificationsExperience in statistics and data analysis.Experience with Machine Learning/Information Retrieval/Large Scale Data-Mining are a plusExperience in Web Crawling is a plusAt 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 $135,400 and $250,600, 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.
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