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AIML - Software Engineer, Machine Learning Platform and Technologies

Apple

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Software Engineering

Cupertino, CA, USA

Posted on Wednesday, June 5, 2024

Summary

Posted: Jun 4, 2024

Weekly Hours: 40

Role Number:200552189

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 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.