Senior Machine Learning Manager – Ads Campaign Optimization
Apple
Senior Machine Learning Manager – Ads Campaign Optimization
Job Description
At Apple, we strive every day to create products that enrich people’s lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking an adventurous and strategic leader to drive innovation in Ads Campaign Optimization. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple’s Ad Platforms and driving key business outcomes. 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 - Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant - Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness. - Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform. - 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
60,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- strategic leadershipintermediate
- innovation roadmap developmentintermediate
- team leadershipintermediate
- machine learning managementintermediate
- ad network behavior understandingintermediate
- technical strategy definitionintermediate
- budget optimizationintermediate
- bid optimizationintermediate
- auction optimizationintermediate
- advertiser recommendationsintermediate
- response predictionintermediate
- innovative researchintermediate
- algorithm designintermediate
- algorithm analysisintermediate
- privacy complianceintermediate
- large-scale experiment executionintermediate
- experiment analysisintermediate
- cross-functional collaborationintermediate
- model deploymentintermediate
- model executionintermediate
- ad algorithm developmentintermediate
- optimization solutions implementationintermediate
- marketplace data analysisintermediate
- intelligence systems architectureintermediate
- performance optimizationintermediate
- operational managementintermediate
Required Qualifications
- 7+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets. (experience, 7 years)
- Track record of leading engineering teams from design to implementation, ensuring scalability and reliability. (experience)
- Deep mathematical understanding of modern ML techniques, including linear algebra and statistics. (experience)
- Experience working with operational teams on deployment, monitoring, and system management. (experience)
- Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions. (experience)
- 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. (experience)
- Hands-on experience with Python or Java in a production environment. (experience)
- Proficiency in databases, SQL, and scripting languages for data processing and model deployment. (experience)
- BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field (experience)
Preferred Qualifications
- 10+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets. (experience, 10 years)
- MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field. (experience)
- Previous experience with online advertising domain highly preferred. (experience)
Responsibilities
- 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
- - Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant
- - Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness.
- - Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform.
- - 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.
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Senior Machine Learning Manager – Ads Campaign Optimization
Apple
Senior Machine Learning Manager – Ads Campaign Optimization
Job Description
At Apple, we strive every day to create products that enrich people’s lives. Our Advertising Platforms group enables users worldwide to discover new content seamlessly while empowering publishers and developers to promote and monetize their work. Our technology powers advertising in the App Store and Apple News, delivering highly-performant, privacy-first solutions that set new industry standards. We're seeking an adventurous and strategic leader to drive innovation in Ads Campaign Optimization. This role requires a deep understanding of Ad network behavior and the ability to develop and prioritize an innovation roadmap that spans multiple technical domains. You'll lead a team that designs, develops, and delivers innovative capabilities, differentiating Apple’s Ad Platforms and driving key business outcomes. 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 - Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant - Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness. - Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform. - 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
60,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- strategic leadershipintermediate
- innovation roadmap developmentintermediate
- team leadershipintermediate
- machine learning managementintermediate
- ad network behavior understandingintermediate
- technical strategy definitionintermediate
- budget optimizationintermediate
- bid optimizationintermediate
- auction optimizationintermediate
- advertiser recommendationsintermediate
- response predictionintermediate
- innovative researchintermediate
- algorithm designintermediate
- algorithm analysisintermediate
- privacy complianceintermediate
- large-scale experiment executionintermediate
- experiment analysisintermediate
- cross-functional collaborationintermediate
- model deploymentintermediate
- model executionintermediate
- ad algorithm developmentintermediate
- optimization solutions implementationintermediate
- marketplace data analysisintermediate
- intelligence systems architectureintermediate
- performance optimizationintermediate
- operational managementintermediate
Required Qualifications
- 7+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets. (experience, 7 years)
- Track record of leading engineering teams from design to implementation, ensuring scalability and reliability. (experience)
- Deep mathematical understanding of modern ML techniques, including linear algebra and statistics. (experience)
- Experience working with operational teams on deployment, monitoring, and system management. (experience)
- Strong analytical skills, ability to investigate multiple streams of ad quality data, draw insights, and recommend actionable solutions. (experience)
- 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. (experience)
- Hands-on experience with Python or Java in a production environment. (experience)
- Proficiency in databases, SQL, and scripting languages for data processing and model deployment. (experience)
- BS, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field (experience)
Preferred Qualifications
- 10+ years of experience leading teams that apply advanced statistical/ML methods to large, sophisticated datasets. (experience, 10 years)
- MS/PhD, or equivalent experience, in AI, ML, Mathematics, Computer Science, or a related field. (experience)
- Previous experience with online advertising domain highly preferred. (experience)
Responsibilities
- 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
- - Design and analyze sophisticated algorithms to deliver incremental improvements that are privacy compliant
- - Execute and analyze large-scale experiments to drive continuous improvements in ad effectiveness.
- - Work closely with Engineering and Business teams to scale innovations, improving user experience and monetization potential across Apple’s advertising platform.
- - 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.
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Manager – Ads Campaign Optimization @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs