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Senior Machine Learning Engineer, Search & Knowledge PlatformApple • United States
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Senior Machine Learning Engineer, Search & Knowledge Platform

Apple
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Senior Machine Learning Engineer, Search & Knowledge Platform
Apple is where individual imaginations come 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. The Information Intelligence team is redefining how billions of people use their devices to get information. We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products – including Siri, Spotlight, Safari, Messages, Lookup, and more. As a Staff Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models. Responsibilities
Understanding product requirements then translating them into modeling and engineering tasks Analyzing search ranking and relevance requirements, issues, and opportunities Utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models Building ML models for retrieval, relevance ranking, and query understanding Minimum Qualifications
MS in Computer Science or related field 10+ years of work experience in machine learning, deep learning or related field 10+ years experience in shipping Search and Q&A technologies and ML systems Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy Strong written and verbal communication with the ability to articulate complex topics Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others Passion for building phenomenal products and curiosity to learn Preferred Qualifications
PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval, Question Answering) Strong and validated experience of ML development and production systems Experience working with foundation models and LLMs 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 $171,600 and $302,200, 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. 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 At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace Learn about reasonable accommodations for job applicants Apple accepts applications to this posting on an ongoing basis.
  • United States

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  • English
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