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AIML - Software Engineer, Machine Learning Platform and Technologies_

Cupertino

AIML - Software Engineer, Machine Learning Platform and Technologies

Cupertino,California,United States

Machine Learning and AI

Do you want to make Siri and Apple products smarter for our users? The Siri Search & 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. Siri's universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, News, Maps, Messages, and Lookup. We are searching for Machine Learning Infrastructure Engineers to build scalable, highly available and robust platforms. Build, evolve, and scale state-of-the-art machine learning system infrastructure powering Apple's Siri Platforms. Be a key engineer contributing to the design, development and operation of the large-scale infrastructure systems. Work with other Machine learning / Deep learning researchers and backend engineers to implement scalable solutions to tackle sophisticated problems.

**Description**

We design and build infrastructures to support features that empowers billions of Siri users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You'll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity.

**Minimum Qualifications**

+ Strong coding skills

+ Strong background in computer science: algorithms and data structures

+ Experience with backend development, code performance tuning and testing

+ Experience with cloud services (S3/EC2/EKS/etc. in AWS, and GKE/GCS/etc. in GCP) and Kubernetes

**Key Qualifications**

**Preferred Qualifications**

+ Experience with cluster setup / management, monitoring and logging

+ Excellent interpersonal skills able to work independently as well as in a team

+ Experience with Information Retrieval, Large Scale Data-Mining and/or Machine learning

**Education & Experience**

BS, MS, Ph.D. in a related field , or equivalent 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 $170,700 and $300,200, 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 (pple.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. (eoc.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. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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