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Machine Learning Engineering Manager, Evaluation, Agentic Search Capabilities

Apple· Machine Learning and AI
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Cupertino, CA$206.2k - $356.4kFull-timePosted 1w ago

About the role

Machine Learning Engineering Manager responsible for leading a team that designs and builds evaluation systems for personalized Agentic Search experiences powering Siri, Spotlight, Safari, and more. Focus on offline/online metrics, data generation, and quality assessment to advance personalized Siri Search while preserving user privacy.

Responsibilities

  • Lead a team of applied machine learning and software engineers to design and build scalable, automated systems for end-to-end evaluation of personalized Agentic Search
  • Contribute to the design and implementation of offline and online metrics to assess quality at the product and component level for Personal Question Answering, and drive iterative improvement
  • Collaborate with partner teams to define data and evaluation requirements, set priorities, and identify opportunities to enhance the Personal Question Answering stack
  • Define the long-term technical vision for personalized Siri Search quality, identify gaps, and drive solutions as part of a broader roadmap

Qualifications

  • 6 or more years of industry experience building machine learning or machine learning evaluation systems at scale
  • 2 or more years of industry experience in technical leadership or management
  • Knowledge of machine learning fundamentals, neural network architectures, and software engineering in Python or C/C++
  • Communication and collaboration skills
  • Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
  • Experience designing and building production machine learning systems in search, natural language processing, recommendation systems, or information retrieval
  • Experience in data collection, data generation, or data quality assessment of language, image, or multimodal data
  • Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, Statistics, or a related field, or equivalent industry experience

Skills

Required:Machine LearningEvaluation SystemsPython or C/C++Data Generation and QualityLeadershipCommunication

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 and relocation eligibility
  • Apple shareholder opportunities through stock programs
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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