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Apple Senior Machine Learning Manager – Ads Campaign Optimization United States, West Virginia 185591012
Yesterday
As a Machine Learning (ML) Manager, you'll be responsible for building products and solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads Platforms. In addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like auction optimization, advertiser recommendations, response prediction etc all of which are critical for delivering enhanced experience for the advertisers on our platform. - Define and implement the technical strategy for building solutions like budget and bid optimization for optimizing campaign performance and advertiser experience- Play a critical role in shaping the strategy and roadmap for allied areas like auction optimization, advertiser recommendations, response prediction etc to deliver an optimal end to end experience for advertisers- Leverage innovative research and technology to deliver these capabilities at scale- Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness.- Operate at utmost scale, ensuring efficient and reliable model deployment and execution. - Develop and implement ad algorithms, optimization solutions, and marketplace data analyses within an ad network. - Architect and scale intelligence systems, addressing operational concerns and performance optimizations.
- 7+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.
- Track record of leading engineering teams from design to implementation, ensuring scalability and reliability.
- Deep mathematical understanding of modern ML techniques, including linear algebra and statistics.
- Experience working with operational teams on deployment, monitoring, and system management.
- Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions.
- Experience in one or more of the following domains: Algorithms, Architecture, AI, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, Quantitative Analysis, or Systems Software implementation.
- Hands-on experience with Python or Java in a production environment.
- Proficiency in databases, SQL, and scripting languages for data processing and model deployment.
- BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field
- 10+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets.
- MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field.
- Previous experience with online advertising domain highly preferred.
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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