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AIML - Sr Engineering Manager, Knowledge Graph
AIML - Sr Engineering Manager, Knowledge GraphApple • Cupertino, CA, US
AIML - Sr Engineering Manager, Knowledge Graph

AIML - Sr Engineering Manager, Knowledge Graph

Apple • Cupertino, CA, US
30+ days ago
Job type
  • Full-time
Job description

AIML - Sr Engineering Manager, Knowledge Graph

Cupertino, California, United States

Machine Learning and AI

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.

Minimum Qualifications

  • 5+ 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

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.
  • 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 $228,100 and $393,800, 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.

    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.

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    Sr Engineering Manager • Cupertino, CA, US

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