Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

AT Apple
Apple

AIML - Machine Learning Engineer, Machine Learning Platform & Infrastructure

Santa Clara, CA

Summary

Posted: Nov 6, 2024

Weekly Hours: 40

Role Number:200577454

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.

Want more jobs like this?

Get jobs in Santa Clara, CA delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.


Description

We design and build infrastructures to support features that empowers billions of Apple 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
  • Strong background in Deep Learning frameworks - JAX / Tensorflow / PyTorch
  • Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes

Preferred Qualifications

  • Excellent interpersonal skills able to work independently as well as in a team
  • Experience with Information Retrieval and Large Scale Data-Mining
  • Experience Web Crawling is a plus

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 $175,800 and $312,200, 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.

More

  • 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.

Client-provided location(s): Santa Clara, CA, USA
Job ID: apple-200577454-1
Employment Type: Other

Company Videos

Hear directly from employees about what it is like to work at Apple.