Sr. Applied AI/ML Engineer, Rights and Pricing - Apple Services Engineering
The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 37 languages to more than 175 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.
Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.
Description
The Rights & Pricing engineering team provides the Apple Services platform for distribution rights by country, calculation and management of prices including retail, offers, wholesale, and tax. Rights & Pricing also includes Partner Onboarding which includes the vendor application process, signing of digital contracts, collection of bank account and tax information, and business systems that manage the presentation layers of payments, invoicing, and financial reporting. This is a key team for Apple Services Engineering!
As a Senior Applied AI/ML Engineer, you will shape how our team adopts AI/ML-from rapid prototyping to production systems at scale. You'll identify high-impact opportunities, build proof-of-concepts to validate ideas, then leverage Apple's internal ML infrastructure to productionize solutions serving millions of users. Beyond building, you'll establish best practices, mentor engineers to become AI-native practitioners, and help define our AI/ML culture for years to come.
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Sound like a great opportunity? Join us!","responsibilities":"Lead AI/ML initiatives end-to-end-from prototyping and experimentation to production deployment
Develop and fine-tune models (including LLMs) for rights management, pricing optimization, and partner operations
Create compelling demos that communicate AI capabilities and inform product direction
Build reusable patterns and documentation that enable engineers to incorporate AI/ML into their work
Partner with product and business teams to identify automation opportunities
Establish evaluation frameworks and standards for responsible AI development
Mentor engineers and influence AI/ML adoption across the team
Preferred Qualifications
Experience establishing AI/ML practices in teams new to AI/ML
Background in optimization, pricing algorithms, or financial systems
Experience with privacy-preserving ML techniques
Minimum Qualifications
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of industry experience
Proven track record of leading successful AI/ML projects from conception to deployment
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of applied AI/ML experience
Demonstrated experience solving business problems with the help of AI/ML, developing reliable evaluation frameworks to assess model efficiency, and scaling operations to large-scale production deployments
Strong proficiency with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Experience with ML pipelines (feature engineering, training, serving, monitoring)
Proficiency in Python and experience with distributed systems
Proven ability to mentor and influence engineering teams on AI/ML adoption and leading mission-critical initiatives
Excellent communication skills with ability to translate technical concepts for diverse audiences
Hands-on experience with LLMs, including: developing evaluation frameworks, fine-tuning, prompt engineering, RAG architectures, and AI API integration
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 .
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 $212,000 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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