23 hours ago
Responsibilities
- Design and build scalable solutions for advertiser campaign goals, budget optimization, and bid optimization.
- Develop and implement machine learning and quantitative optimization algorithms for ads, recommendations, or search relevance.
- Translate research concepts into production-quality code and define clear, testable research hypotheses.
- Apply online experimentation and design-of-experiments methods to measure business impact.
- Formulate and advocate for R&D objectives and results with cross-functional teams, product management, and executive business leadership.
- Contribute to or review research for top conferences and publications.
Requirements
- 8+ years of experience building machine learning and quantitative optimization capabilities across product areas at scale.
- Experience with machine learning, quantitative methods, control systems, or reinforcement learning.
- Experience applying research concepts in production-quality code and defining testable research hypotheses.
- Deep knowledge of design of experiments and online experimentation approaches, preferably at scale.
- Experience communicating R&D objectives and results to cross-functional and executive stakeholders.
- Experience contributing to or reviewing research for top conferences and publications.
- Deep fluency in Java or Python.
- Experience with Spark, Hadoop, or other distributed frameworks.
- PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning, or a related field, or equivalent experience with large data science or machine learning projects in industry.
- Experience in ads optimization, recommendations, or search relevance optimization is highly preferred.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.