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Senior Machine Learning Engineer - Ad Campaign Optimization

Apple· Machine Learning and AI
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Cupertino$184.7k - $324.8kFull-timePosted 3d ago

About the role

Senior ML engineer to design, build, and optimize scalable machine learning and optimization solutions for Apple Ads, focusing on ad campaign optimization, budget and bid optimization, and production-grade ad recommendations at a global scale.

Responsibilities

  • Develop models and systems to improve the platform across the board and generate high-quality ad recommendations; collaborate with business partners to drive new product development; perform large-scale experiments to understand their effects.
  • Lead the conception, development, and delivery of state-of-the-art capabilities that differentiate products and are core to the business.
  • Drive strategic outcomes through innovation in multiple fields by applying advanced techniques and algorithms to improve the ad network.
  • Develop deep understanding of ad network behavior and work with product management and leadership to prioritize an innovation roadmap across multiple technical domains.
  • Lead cross-functional collaboration to set strategy and deliver end-to-end solutions that scale as the company grows.

Qualifications

  • 5+ years of experience building machine learning and quantitative optimization capabilities at scale across multiple product areas.
  • Experience in machine learning, quantitative methods, control systems, or reinforcement learning.
  • Ability to apply and implement research concepts in production-quality code.
  • Experience defining clear, testable research hypotheses with business impact.
  • Deep knowledge of design of experiments and online experimentation approaches, preferably at scale.
  • Ability to formulate and advocate for R&D objectives and results to cross-functional teams including executive leadership.
  • Experience contributing to or reviewing research for top conferences/publications.
  • Deep fluency in Java or Python.
  • Experience with Spark, Hadoop or other distributed frameworks.
  • Masters in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with production systems experience (or equivalent industry experience).
  • Experience in ads optimization, recommendations, or search relevance optimization is highly preferred.
  • PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field (with production systems experience) is also noted as preferred.

Skills

Required:Machine LearningOptimizationExperimentationProduction-grade coding

Benefits

  • Base pay range: $184,700 - $324,800 USD per year (dependent on skills, qualifications, experience, and location).
  • Discretionary employee stock programs (RSUs) and opportunities to participate in Employee Stock Purchase Plan.
  • Comprehensive medical and dental coverage, retirement benefits, product discounts, and access to educational expense reimbursement.
  • Potential discretionary bonuses or commission payments and relocation assistance.
  • Learn more about Apple Benefits.
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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