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Machine Learning Scientist - Ad Campaign Optimization

Apple

Cupertino, California, U.S.
Full-time, Part-time, Contract, Regular, Temporary
Posted Oct 07, 2025
Onsite

Compensation

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About the role

We are seeking a self-motivated individual to build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high-quality ads experience while maintaining a healthy marketplace

Responsibilities

  • Design and build scalable solutions for advertisers to optimize for campaign goals and performance on Apple Ads
  • Develop models and systems to improve the platform across the board
  • Develop production code to generate high-quality ad recommendations
  • Work closely with business partners to help drive the development of new products
  • Perform large-scale and complex experiments to understand their effects

Requirements

  • 5+ years of 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
  • Deep knowledge of design of experiments, online experimentation approaches
  • Ability to formulate and advocate for R&D objectives and results to cross-functional team members
  • Experience contributing and/or reviewing research for top conferences and publications
  • Deep fluency in Java or Python
  • Experience with Spark, Hadoop, or other distributed frameworks

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses
  • Discretionary restricted stock unit awards
  • Employee Stock Purchase Plan
  • Discretionary bonuses or commission payments
  • Relocation assistance

About the Company

Apple is a technology company that creates innovative hardware, software, and services

Job Details

Salary Range

$181,100 - $318,400/yearly

Location

Cupertino, California, U.S.

Employment Type

Full-time, Part-time, Contract, Regular, Temporary

Original Posting

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