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Appleposted 4 months ago
$135,400 - $250,600/Yr
Full-time • Mid Level
Seattle, WA
Computer and Electronic Product Manufacturing

About the position

The Siri and Information Intelligence team at Apple is seeking a skilled applied machine learning engineer to enhance the intelligence of Siri and other Apple products. This role involves working on real-time augmented information retrieval, generation, and safety technologies, contributing to user-facing production services that impact millions of users. The position offers the opportunity to shape future products by leveraging advanced machine learning techniques and strong software engineering skills.

Responsibilities

  • Shape upcoming products by applying machine learning and software engineering techniques.
  • Understand user queries and intents to retrieve and rank documents and generate helpful answers.
  • Work on data generation, evaluation, and safety in machine learning applications.
  • Collaborate with a diverse team of engineers to push the limits of information retrieval and generation.

Requirements

  • BS in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience.
  • 2+ years of industry-related experience in collaborative environments.
  • Experience with PyTorch, TensorFlow, or JAX for training and deploying deep learning models.
  • Ability to translate product requirements into modeling and engineering tasks.
  • Proficient in at least two programming languages such as C/C++, Go, Python, or Java.

Nice-to-haves

  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience.
  • Experience analyzing search ranking and relevance requirements.
  • Experience building machine-learned models for search relevance ranking and query understanding.

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Reimbursement for certain educational expenses, including tuition
  • Discretionary bonuses or commission payments
  • Relocation assistance
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