AIML - Software Engineer, Machine Learning Platform Technologies

Apple Inc.
Cupertino, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Elastic Compute Cloud Amazon S3 Apple Products Computing Platforms Data Structures Machine Learning Natural Language Processing Data Processing High Performance Computing Siri Information Technology
+4 more
Search Engines Software Coding Artificial Intelligence Markup Language (AIML) Data Pipelines

Job description

Imagine 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.

Requirements

  • BS or MS in Computer Science or equivalent experience
  • Strong coding skills and experience with data structures and algorithms
  • Experience designing and building scalable distributed services
  • Experience with petabyte scale data processing & building data pipelines
  • Experience with AWS Services such as Amazon S3, EC2, EKS
  • Excellent interpersonal skills able to work independently as well as cross-functionally, * Experience in Web Crawl is a plus
  • Excellent interpersonal skills able to work independently as well as in a team

Benefits & conditions

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 $147,400 and $272,100, 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 seek to promote 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.

About the company

We design, build and maintain infrastructure to support features that empower billions of Apple users. Our team processes billions of requests every day across our web crawl stack. We rely on our microservice based architecture to support multimodal crawl which allows us to download billions of records to support various search features across Apple. 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.

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