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AIML - Sr./Staff ML Engineer, Machine Learning Platform Technologies
AIML - Sr./Staff ML Engineer, Machine Learning Platform TechnologiesApple • San Francisco, California, United States
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AIML - Sr. / Staff ML Engineer, Machine Learning Platform Technologies

AIML - Sr. / Staff ML Engineer, Machine Learning Platform Technologies

Apple • San Francisco, California, United States
4 days ago
Job type
  • Full-time
Job description

Summary

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.

Description

We do more than develop cloud infrastructure – we shape the future of AI and search. Join us as a Cloud Infrastructure Engineer, collaborating across teams to translate project needs into scalable solutions. Craft, manage, and optimize cloud infrastructure solutions for peak performance and security. Vigilantly monitor / troubleshoot systems, and collaborate with other software engineers, data scientists, and AI specialists to enhance infrastructure. Your role is pivotal in defining the landscape of cloud infrastructure's synergy with AI advancements.

Minimum Qualifications

7+ years of coding skills

Background in computer science : algorithms and data structures

Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes

Proficient in designing, developing, and deploying high-performance, reliable, and scalable software solutions in production

Preferred Qualifications

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

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 $181,100 and $318,400, 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. https : / / www.apple.com / careers / us / benefits.html

Note : Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Equal Opportunity Employer

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 https : / / www.eeoc.gov / sites / default / files / 2023-06 / 22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf.

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Machine Learning Engineer • San Francisco, California, United States

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