Principal Machine Learning Engineer - ML Innovation

Summary

Posted: Feb 13, 2025
Weekly Hours: 40
Role Number:200578592

We are seeking an exceptional Principal Machine Learning (ML) Engineer/Researcher to join our premier ML innovation team at Apple. As a key member of this team, you will drive the development and shipping of cutting-edge ML technologies that improve the lives of billions of Apple customers. The successful candidate will lead the design, implementation, and testing of innovative ML algorithms, methods, and systems for personalization, memory, diagnostics, representation and reasoning. This role requires a deep understanding of ML fundamentals, strong leadership skills, and the ability to collaborate with cross-functional teams.

Description

This is a technical lead position, working with both junior and senior ML engineers/researchers, and product engineers, in a cross functional settings. You core responsibilities will be: (Hands on) Lead or co-lead the design, implementation, and testing, of algorithms, methods, and systems for ML based personalization, memory, diagnostics, and reasoning. It entails working with multi-functional engineering teams, defining dependencies with other teams, defining API’s and developing technical agreements. You will be expected to stay up to date up and monitor the latest developments in ML and explore their possible application to Apple products and services.

Minimum Qualifications

• Strong ML expertise and deep understanding of the ML fundamentals including mathematics, architectures, representation and reasoning, generation/diffusion processes, and diagnostics
• Strong Computer Science algorithmic and theory knowledge, and strong statistical fundamentals.
• 7 Years experience on training, evaluating, and characterizing ML models and end to end systems
• 5 Years of experience in at least one domain of application for ML: NLP, Computer Vision, reinforcement learning. A deep understanding of the applications, challenges, and opportunities in these domains.
• Ability to distill and formulate a vision and requirements from a vague desiderata description of a project outcome
• Excellent leadership and communication skills
• Good programming skills in python, pytorch or related high level languages
• PhD in CS, ECE, Statistics, or equivalent industrial experience.

Preferred Qualifications

• Proven leadership in shipping/designing ML based products.
• Experience with cross-functional projects, including de-risking and scoping.
• Strong understanding of end to end systems.

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 $197,400 and $360,200, 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.