Senior Machine Learning Manager, Answers, Search & Knowledge Platforms

Do you want to make Siri and Apple products smarter for our users? The Search & Knowledge Platform team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on realtime augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user facing production services. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more.

Description

In this role, you will drive E2E Apple Knowledge Graph engineering to generate answers and experiences for users' knowledge questions. It includes open-domain knowledge extraction, knowledge conflation, knowledge graph construction, and serving. You will also lead the team in developing advanced NLP and ML models to understand user query entities and intent, retrieve the relevant entities and facts from the knowledge graph, and generate high-quality answers and dialog/experiences using LLM-powered models. You are expected to take advantage of the Apple ecosystem that blends cutting-edge hardware, software, and strong privacy/security guarantees, integrate this with Apple's knowledge infrastructure and phenomenal power of generative models, and then deliver the truly delightful knowledge-driven user experiences that are uniquely Apple. You will be responsible for devising the product vision and strategy, evangelizing it, executing the plan, and delivering a high-quality end-user experience. You will be able to work with a wide range of organizational partners across design, product and marketing, software engineering, data science, foundation models, and machine learning and profoundly impact billions of Apple users worldwide.

Preferred Qualifications

Strong background and experience in Search and related technologies (Machine Learning, Ranking, Relevance and Metrics)

Strong engineering and R&D experience in E2E knowledge graph technologies

Exceptional verbal and written communication skills to lead

Product Vision.

Ability to manage long-term strategy and short-term deliverables.

Strong engineering leadership and fundamentals.

Minimum Qualifications

8+ years of experience leading engineering/applied research/ML experiences in search, natural language processing/understanding, and conversational AI.

MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field

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 $254,400 and $381,600, 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.