Senior Machine Learning Engineer for Global Siri Quality

hace 1 día


Madrid, Madrid, España Apple Inc. A tiempo completo

Company Overview

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At Apple Inc., we're revolutionizing the way people interact with technology. Our mission is to create innovative products that enrich lives and make a positive impact on the world.

Job Summary

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We're seeking a highly skilled Senior Machine Learning Engineer to join our team and play a key role in shaping the quality of Siri, our intelligent assistant. As a Senior ML Engineer, you will be responsible for ensuring the accuracy and reliability of Siri across all platforms and languages, focusing on international quality.

Job Description

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The successful candidate will have a strong understanding of machine learning evaluation strategies, software lifecycle, and excellent problem-solving skills. They will work closely with development teams to define evaluation strategies and efficiently execute them. Additionally, they will help drive innovation and set a high-quality bar for Apple Intelligence.

Responsibilities:

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  • Design, develop, and execute quality evaluation plans for Siri
  • Craft evaluation datasets and strategies for ML-based products
  • Collaborate with cross-functional teams to ensure timely completion of tasks while maintaining high quality
  • Validate the performance and scalability of machine learning models in production settings
  • Lead and influence evaluation initiatives in fast-paced environments

Requirements

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To be considered for this role, you should possess:

  • Demonstrated experience in quality assurance and designing quality evaluation plans
  • Excellent problem-solving and communication skills
  • A strong understanding of software development and QE life cycle
  • A Master's degree in Machine Learning, Data Science, or related field (PhD preferred)

Salary Information

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This position offers a competitive salary of $ **165,000** per annum, reflecting the seniority and expertise required for the role.

Location

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The role is based in Madrid, Spain, with opportunities to work remotely as needed.



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