Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
AI
Apple Inc.
Sr. Machine Learning Manager, AI, Search & Knowledge Platforms
Career Insights for Generative Artificial Intelligence Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on California data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Generative Artificial Intelligence Engineer develops, designs, and manages generative models and algorithms that support the generation of new content in the form of images, text, audio, and other multimedia. They utilize GPTs, GANs, VAEs, and other deep learning architectures to craft systems capable of generating data. May work with data scientists, machine learning engineers, and software developers.
$166,830 / year median in California
Job Description
Sr.
We are looking for a seasoned Engineering Manager who will build and lead a team of backend infrastructure and ML engineers, own the technical roadmap for large scale indexing and serving systems, and drive execution against aggressive scale, reliability, latency, and cost targets. Description We design and build the core infrastructure that indexes and serves billions of documents to find and return the best content to users at query time, with high throughput and low latency. This infrastructure underpins LLM powered and agentic search, spanning indexing, semantic and multimodal retrieval, query understanding, model inference, and agentic orchestration. This role's focus is indexing and serving specifically. As the manager of this team, you will set technical direction, grow and develop your team, and partner across quality, infra, and product teams to prioritize what gets built. You will have the opportunity to lead work spanning hundreds of billions of documents, petabytes of data, and real time evaluation pipelines. Minimum Qualifications Deep expertise in web scale indexing systems, including distributed document processing, storage, and retrieval Strong coding skills and background in algorithms and data structures 10+ years of experience leading and driving complex, large scale search infrastructure projects Experience managing managers and engineering teams, including hiring, growth, and performance management Track record scaling engineering teams across multiple sites/geographies Strong technical judgment and ability to drive architecture, execution, and cross functional alignment across complex programs spanning multiple teams BS, MS, or Ph.D. in Computer Science or related field Preferred Qualifications Experience designing evaluation infrastructure for large scale indexing and retrieval systems Experience with RAG and agentic search scenarios Track record of driving developer velocity and quality improvements across large engineering organizations Familiarity with LLM model inference, and search quality metrics 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 $237,600 and $401,700, 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.
Machine Learning Manager, AI, Search & Knowledge Platforms Santa Clara, California, United States Software and Services Summary Posted:
Sep 01, 2026Weekly Hours:
40Role Number:
200681274-3760 Do you want to make Apple products more intelligent for our users? The Search & Recommendation Platforms team is building groundbreaking core infrastructure technology for an AI powered, large scale, highly performant agentic search serving stack. This platform powers search and recommendation experiences across Siri, Safari, Spotlight, App Store, Apple Music, and other Apple products.We are looking for a seasoned Engineering Manager who will build and lead a team of backend infrastructure and ML engineers, own the technical roadmap for large scale indexing and serving systems, and drive execution against aggressive scale, reliability, latency, and cost targets. Description We design and build the core infrastructure that indexes and serves billions of documents to find and return the best content to users at query time, with high throughput and low latency. This infrastructure underpins LLM powered and agentic search, spanning indexing, semantic and multimodal retrieval, query understanding, model inference, and agentic orchestration. This role's focus is indexing and serving specifically. As the manager of this team, you will set technical direction, grow and develop your team, and partner across quality, infra, and product teams to prioritize what gets built. You will have the opportunity to lead work spanning hundreds of billions of documents, petabytes of data, and real time evaluation pipelines. Minimum Qualifications Deep expertise in web scale indexing systems, including distributed document processing, storage, and retrieval Strong coding skills and background in algorithms and data structures 10+ years of experience leading and driving complex, large scale search infrastructure projects Experience managing managers and engineering teams, including hiring, growth, and performance management Track record scaling engineering teams across multiple sites/geographies Strong technical judgment and ability to drive architecture, execution, and cross functional alignment across complex programs spanning multiple teams BS, MS, or Ph.D. in Computer Science or related field Preferred Qualifications Experience designing evaluation infrastructure for large scale indexing and retrieval systems Experience with RAG and agentic search scenarios Track record of driving developer velocity and quality improvements across large engineering organizations Familiarity with LLM model inference, and search quality metrics 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 $237,600 and $401,700, 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.