App Store Optimization Jobs in Seattle, WA (NOW HIRING)

Wonder how Apple's Media Products show relevant search results and recommendations across Apple's media offerings - including App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books? Come join us! Design, build, and deploy machine learning pipelines that personalize the App Store for billions of users worldwide! Prototype, scale, and optimize algorithm improvements. Build robust, large-scale personalized recommender systems for Apps, Games, Videos, Podcasts and Fitness. See your work touch the lives of billions of Apple users worldwide.
The Apple Services Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Fitness+. And we do it on a massive scale, meeting Apple’s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.
Our scientists and engineers build secure, end-to-end solutions powered by machine learning. Thanks to Apple’s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment 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, flexible, and multi-functional, offering greater exposure to the array of opportunities here.
Description
We are looking for an exceptional Machine Learning Engineer to help us build and scale personalization systems using the latest advances in machine learning. With your engineering expertise, we want to develop robust, high-performance solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to partner with researchers to see cutting-edge AI models deployed reliably at Apple’s truly incredible global scale.","responsibilities":"Design, build, and maintain scalable machine learning pipelines and infrastructure for training and serving personalization models.
Partner closely with ML researchers to transition prototype models into highly optimized, production-ready systems.
Optimize model inference for low latency and high throughput to meet the rigorous demands of Apple’s global user base.
Implement robust monitoring, A/B testing infrastructure, and evaluation frameworks to ensure model quality and reliability in production.
Ship production-quality code and drive engineering best practices, system architecture, and code quality within the team.
Preferred Qualifications
Master’s degree in Computer Science, Software Engineering, Mathematics, or a related field; OR equivalent practical industry experience.
Industry experience specifically focused on MLOps, recommendation systems, or search ranking infrastructure.
Minimum Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical field.
7+ years of relevant work experience.
Strong software engineering fundamentals and technical competence in production-quality software development.
Real-world experience with building, scaling, and deploying recommendation systems or large-scale ML models.
Proven grasp of the open-source Python AI/ML tech stack, including PyTorch, scikit-learn, and numpy-scipy-pandas.
Solid understanding of machine learning algorithms, design patterns, and tools, including deep learning and generative AI.
Proficiency with big data technologies, data processing pipelines, and distributed computing (e.g., Spark, Hadoop, Kafka).
Experience with ML infrastructure, model optimization, and serving models at scale with low latency.
Strong written & oral communication skills, with a collaborative mindset.
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 $175,000 and $308,500, 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.