Senior Machine Learning Engineer - ML Innovation
Seattle, Washington, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Feb 13, 2025Weekly Hours: 40
Role Number:200578597
We are seeking an exceptional Machine Learning (ML) Engineer/Researcher to join our premier ML innovation team at Apple. You will participate in the research, development and shipping of cutting-edge ML technologies that improve the lives of billions of Apple customers. The successful candidate will participate in the design, implementation, and testing of innovative ML algorithms, methods, and systems for personalization, memory, diagnostics, representation and reasoning. Our team has a highly collaborative culture and works cross-functionally across Apple.
Description
In this position you will be working and collaborating with both junior and senior ML engineers/researchers, and product engineers, in a cross functional settings. You core responsibilities will be on research, development, implementation, and testing, of algorithms, methods, and systems for ML based personalization, representation and memory, diagnostics, and reasoning that are integral part of Apple products and services.
Minimum Qualifications
- Strong understanding of the ML fundamentals including mathematics, architectures, representation and reasoning, generation/diffusion processes, and diagnostics
- Strong Computer Science algorithmic and theory knowledge.
- 3 Years experience on training, evaluating, and characterizing ML models and systems
- 3 Years of experience in at least one domain of application for ML: NLP, Computer Vision, reinforcement learning. An understanding of the applications, challenges, and opportunities in these domains.
- Strong programming skills
- Good communication skills
- Master of Science/engineering in CS, ECE, Statistics, or equivalent industrial experience
Preferred Qualifications
- Experience with developing/shipping at least on ML based product or service
- Excellent communication skills
- PhD in CS, ECE, Statistics, or equivalent industrial experience
- Proven skills in formulating projects and collaborating in cross-functional settings
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 $296,300, 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.
Tags: Architecture Computer Science Computer Vision Engineering Industrial Machine Learning Mathematics ML models NLP PhD Reinforcement Learning Research Statistics Testing
Perks/benefits: Career development Equity / stock options Health care Relocation support
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