AIML - Sr Engineering Manager, Knowledge Graph

Apple; Seattle (WA); On-site; USD 208,000 - 361,000; Full time

Job summary

An established industry player is seeking a Senior Engineering Manager to lead the Knowledge Graph team. In this pivotal role, you will drive the engineering efforts to enhance user experiences through advanced machine learning and natural language processing. Your leadership will guide the development of innovative technologies that provide accurate and engaging answers to user queries across various platforms. This is an exciting opportunity to shape the future of user interaction and knowledge delivery, impacting millions of users globally. Join a dynamic team that values creativity and collaboration in a supportive environment where your contributions will truly matter.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Employee stock purchase plan

Discretionary bonuses

Relocation assistance

Qualifications

• 5+ years leading ML experiences in search and NLP.
• MS or Ph.D. in relevant fields required.

Responsibilities

• Drive E2E Apple Knowledge Graph engineering for user knowledge questions.
• Lead team in developing NLP and ML models for user query understanding.

Skills

Machine Learning

Natural Language Processing

Conversational AI

Knowledge Graph Technologies

Search Technologies

Engineering Leadership

Product Vision

Education

MS in Computer Science

Ph.D. in Machine Learning

Job description

AIML - Sr Engineering Manager, Knowledge Graph

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Mar 21, 2025

Role Number: 200594610

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other’s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you’ll do more than join something — you’ll add something. In the Siri and Information Intelligence organization, we work hard to bring the best user experiences powered by Apple Intelligence. One central part of the user experience is providing accurate, concise, and fresh answers for users’ world knowledge questions on Siri, Spotlight search, Safari, and many other Apps in Apple’s ecosystem across different platforms. This means to discover, process, extract, and organize world knowledge in a structured way, as well as the users’ question understanding and answer generation in rich and intuitive experiences. Create ground-breaking technology to enable knowledge answering on all devices where Siri and Search features are provided. You would lead the strong team of MLE, SWE, and data engineers responsible for delivering Apple Knowledge Graph construction and improving the question-answer quality of Apple products.

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.

Minimum Qualifications

1. 5+ years of experience leading engineering/applied research/ML experiences in search, natural language processing/understanding, and conversational AI.
2. MS or Ph.D. in Computer Science, Machine Learning, information retrieval, data mining, or a related field

Preferred Qualifications

1. Strong background and experience in Search and related technologies (Machine Learning, Ranking, Relevance and Metrics)
2. Strong engineering and R&D experience in E2E knowledge graph technologies
3. Exceptional verbal and written communication skills to lead
4. Product Vision. Ability to manage long-term strategy and short-term deliverables.
5. Strong engineering leadership and fundamentals.

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 $208,300 and $360,200, 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.

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 take affirmative action to ensure 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.