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Senior Machine Learning Engineer, Evaluation, Agentic Search Capabilities

Apple· Machine Learning and AI
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Cupertino, CA$184.7k - $324.8kfull-timePosted 1w ago

About the role

Senior ML Engineer focused on evaluation of personalized agentic search applications within Apple’s Agentic Search team. Responsible for data generation, data quality assessment, offline/online metrics, and statistical model and search quality assessment to advance personalized search experiences across Siri, Spotlight, Mail, Messages, and more, with privacy at the forefront.

Responsibilities

  • Build scalable, automated systems for large scale, end-to-end evaluation of models and search powered systems.
  • Design and implement novel data generation and data quality assessment methods to support modeling and evaluation of personal agentic search.
  • Design and implement offline and online metrics to assess product and component level quality for personal agentic search.
  • Collaborate with partner teams to define data and evaluation requirements and priorities, and to explore opportunities for enhancements to the personal search stack.
  • Develop long-term technical vision for personal search quality; identify problem areas and drive solutions as part of a larger roadmap.

Qualifications

  • 6+ years industry experience in building Machine Learning or ML evaluation systems at scale.
  • Strong software engineering skills in mainstream programming languages, such as: Python, C/C++.
  • Ability to quickly prototype ideas and solutions, and perform critical analysis.
  • Strong communication skills and ability to drive solutions in collaboration with partner teams.
  • Bachelors in Computer Science, Engineering, Statistics or related field.
  • Experience in design and building production ML systems and applications in search, NLP, recommendation systems, or information retrieval.
  • Experience in data collection, data generation and/or data quality assessment of language, image or multi-modal data.
  • Strong skills for quality metrics development; interpretation of evaluations; and presentation to executive audience.
  • Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Statistics, or related field, or equivalent industry work experience.

Skills

Required:Machine Learning EvaluationSoftware EngineeringData Generation & Quality AssessmentEvaluation MetricsCommunication & Collaboration

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 as well as relocation (role may be eligible)
  • stock programs including Employee Stock Purchase Plan (ESPP) and discretionary RSU awards
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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