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Über
Description As the ML Engineering Manager for App Store Search, you will lead the design and evolution of the core systems that power Apple’s search, personalization, and agentic experiences. Your team will own the architecture, protocols, data flows, indexing, serving, inference, and automation that ensures these systems are fast, reliable, and built for scale. You will drive the creation of new online and offline components using SOTA technologies, building first ML models where needed or partnering with the Relevance Intelligence team for more advanced iterations. Your leadership will shape the foundation that enables world‑class search and agent experiences across Apple products. You will partner closely with product, data science, EPM, and AB Test teams to ship fast, relevant, and trustworthy results that millions of users rely on every day.
Responsibilities
Own the architecture and technical direction for search, personalization, agentic systems, and internal tooling.
Define and implement core system components, including protocols, data flow, indexing, serving, inference, and automation.
Lead development of new systems, both online and offline, using state‑of‑the‑art technologies, algorithms, and ML models.
Build ML models when appropriate, or collaborate with the Relevance Intelligence team for deeper model development.
Partner closely with product, infrastructure, and cross‑functional teams to ensure system robustness, scalability, and long‑term evolution.
Develop and mentor a high‑performing engineering team with strong fundamentals and a bias for impact.
Deliver reliable, production‑ready systems with clear execution focus, technical rigor, and user‑centered design.
Minimum Qualifications
5+ years leading engineering teams delivering large‑scale distributed systems, backend infrastructure, or search platforms.
MS or Ph.D. in Computer Science, Machine Learning, Information Retrieval, or a related field.
Experience building complex systems involving indexing, retrieval, serving, data pipelines, or ML‑driven components.
Strong execution record across the full engineering lifecycle.
Preferred Qualifications
Expertise in large‑scale search systems, ranking/retrieval architectures, personalization pipelines, or agentic system design.
Experience building production ML systems or bootstrapping first version of ML models.
Strong systems engineering fundamentals, APIs, protocols, distributed systems, data modeling, performance, and reliability.
Ability to lead cross‑functional alignment and balance long‑term platform strategy with fast iteration.
Effective communication and leadership skills; able to drive clarity, prioritize well, and develop engineering talent.
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 $198,300 and $342,800, 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 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.
Apple accepts applications to this posting on an ongoing basis.
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Sprachkenntnisse
- English
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