Demo

Machine Learning Engineer, Apple Intelligence Platform

Apple
Cupertino, CA Full Time
POSTED ON 2/8/2025
AVAILABLE BEFORE 4/8/2025

Summary

Posted:
Weekly Hours: 40
Role Number:200587995
Are you interested in contributing to delivering amazing Generative AI experiences that will touch the lives of billions of people? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? We are looking for an ML Engineer who is passionate about translating expertise in ML and Generative AI into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. Our team is responsible for the Research, Development and Deployment of the core platform that powers Apple Intelligence on device and on private compute cloud — adapters, speculative decoding, guided generation to name a few. Our team is responsible for underpinning all the Apple Intelligence features we shipped to our customers including Writing Tools, Notification Summaries, ChatGPT integration, Siri and more Our team has a great mix of talent across Machine Learning and Software Engineering. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple!

Description

As a member of this premier team, you will work on the intersection of Machine Learning and Software Engineering with an emphasis on recent developments in Generative AI The position would be ideal for candidates proven hands-on experience with Generative AI inference, prompt optimizations, RAG, decoding strategies and other related areas. You will collaborate closely with several engineering teams at Apple to power exciting Apple Intelligence features and ship them to our customers.

Minimum Qualifications

  • Experience writing production software (Swift, C/C , Obj-C, Python)
  • Strong fundamentals in Machine learning, speech processing, speculative decoding
  • B.S, M.S. or PhD in Computer Science or a related field
  • 3 years experience in relevant roles

Key Qualifications

Preferred Qualifications

  • Hands-on experience in using open-source ML toolkits, e.g., PyTorch, Tensorflow
  • Hands-on experience with building Generative AI inference stacks
  • Excellent communication and organizational skills

Education & 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 $143,100 and $264,200, 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.

Salary : $143,100 - $264,200

If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right. Surveys & Data Sets

What is the career path for a Machine Learning Engineer, Apple Intelligence Platform?

Sign up to receive alerts about other jobs on the Machine Learning Engineer, Apple Intelligence Platform career path by checking the boxes next to the positions that interest you.
Income Estimation: 
$123,167 - $152,295
Income Estimation: 
$146,673 - $180,130
Income Estimation: 
$149,493 - $192,976
Income Estimation: 
$184,796 - $233,226
Income Estimation: 
$77,900 - $95,589
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$101,387 - $124,118
Income Estimation: 
$119,030 - $151,900
Income Estimation: 
$119,030 - $151,900
Income Estimation: 
$149,493 - $192,976
View Core, Job Family, and Industry Job Skills and Competency Data for more than 15,000 Job Titles Skills Library

Job openings at Apple

Apple
Hired Organization Address Beaverton, OR Full Time
CPU Physical Design Engineer Beaverton,Oregon,United States Hardware Imagine what you could do here. At Apple, new ideas...
Apple
Hired Organization Address Woodcliff Lake, NJ Full Time
As a Solutions Engineer, you're part of a team that helps customers introduce Apple technology within their businesses. ...
Apple
Hired Organization Address Grand Rapids, MI Full Time
As a Business Leader, you drive the strategy and infuse the business vision into management and store teams in each mark...
Apple
Hired Organization Address Bridgewater, NJ Full Time
As a Solutions Engineer, you're part of a team that helps customers introduce Apple technology within their businesses. ...

Not the job you're looking for? Here are some other Machine Learning Engineer, Apple Intelligence Platform jobs in the Cupertino, CA area that may be a better fit.

AI Assistant is available now!

Feel free to start your new journey!