Apple · Cupertino

ML Scientist - Ad Campaign Optimization

(w/m/d) · 30.4.2025

Description

In this role, you'll design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization that enable driving optimal campaign performance and advertiser experience. You will work with a variety of cross functional business partners to set strategy and bring end-to-end solutions that scale as we grown. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers, developers and Apple users at global scale.

Qualifications

  • 3+ years of experience building machine learning and quantitative optimization capabilities, across many different product areas at scale
  • Experience in machine learning, quantitative methods, control systems, or reinforcement learning
  • Ability to apply and implement research concepts, ultimately in production quality code
  • Experience defining clear, testable research hypotheses, including intended impact on the business
  • Deep knowledge of design of experiments, online experimentation approaches, preferably at scale
  • Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management
  • 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
  • BS, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems

Preferred Qualifications

  • 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale
  • MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems

Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application

View listing at origin and apply!
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