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Apple ML Scientist - Ad Campaign Optimization United States, California, Cupertino 560504332
06.05.2025
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You will also drive strategic outcomes through meaningful innovation in multiple fields by owning the development and application of sophisticated techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will partner with product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of innovative capabilities that differentiate our products and are core to our business.You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments. The ability to be a great teammate under potentially tight constraints is key to success.
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.
- 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
- 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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