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
View on company website