Senior Machine Learning Manager – Ads Predictions
Apple
Senior Machine Learning Manager – Ads Predictions
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 looking for an ambitious individual who can thrive in an Agile environment. You will drive strategic outcomes through substantial innovation programs across multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will work with business and engineering leadership to develop and prioritize an innovation roadmap across multiple technical domains. You'll lead the function that conceives of, develops, and delivers state of the art capabilities that differentiate our products and are core to our business. We are looking for an exceptional hands-on machine learning (ML) manager who can thrive in a fast-paced environment. In this role you will oversee the strategy and development of our inference models to predict user interaction with our Ads. You'll work closely with Product Management partners to build a roadmap and lead teams to propose, design and analyze new algorithms; detect meaningful data patterns and signals while adhering to our strict privacy policies; measuring user, campaign and app performance; and finally analyzing the results of extremely large-scale experiments. Your ability to be a great teammate under tight deadline constraints is key to success. - You'll lead our prediction teams where you will be responsible for creating models to understand our user responses to ads - You'll work across several Engineering and Business teams to scale your deliverables and bring an improved user experience and monetization potential to our platform - You'll have the opportunity to work on a platform with extreme scale requirements - You should have experience developing and implementing ad algorithms, yield optimization solutions and marketplace data analyses within an ad network - You have excellent understanding of scalable architectures including operational concerns
Locations
- New York City, New York, United States 10022
Salary
Estimated Salary Rangemedium confidence
80,000,000 - 150,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- thrive in an Agile environmentintermediate
- leading the development and application of advanced techniques and algorithmsintermediate
- deep understanding of ad network behaviorintermediate
- develop and prioritize an innovation roadmapintermediate
- conceives of, develops, and delivers state of the art capabilitiesintermediate
- hands-on machine learning (ML) managementintermediate
- thrive in a fast-paced environmentintermediate
- oversee the strategy and development of inference modelsintermediate
- predict user interaction with Adsintermediate
- build a roadmapintermediate
- lead teams to propose, design and analyze new algorithmsintermediate
- detect meaningful data patterns and signalsintermediate
- adhering to strict privacy policiesintermediate
- measuring user, campaign and app performanceintermediate
- analyzing the results of large-scale experimentsintermediate
- great teammate under tight deadline constraintsintermediate
- creating models to understand user responses to adsintermediate
- scale deliverables across Engineering and Business teamsintermediate
- improve user experience and monetization potentialintermediate
- work on a platform with extreme scale requirementsintermediate
- developing and implementing ad algorithmsintermediate
- yield optimization solutionsintermediate
- marketplace data analyses within an ad networkintermediate
- excellent understanding of scalable architecturesintermediate
- operational concernsintermediate
Required Qualifications
- 7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets (experience, 7 years)
- You can actively participate in investigations into multiple streams of ads quality data, and draw conclusions from data, recommend actions (experience)
- You have experience in some of the following domains: Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, or other experience with rigorous Quantitative Analysis or Systems Software implementation (experience)
- Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics (experience)
- You have experience developing and leading teams who develop in Python or Java (experience)
- You are familiar with databases, SQL, and scripting languages (experience)
- Proven ability to take requirements from design through to implementation both independently and with larger teams (experience)
- You enjoy working closely with operational teams on deployment, monitoring, and management concerns (experience)
- You actively manage performance of the team reporting to you and take responsibility to drive its outcome (experience)
- MS in AI/ML/Mathematics/CS or related field (experience)
Preferred Qualifications
- 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data setsPhD in AI/ML/Mathematics/CS or related field (experience, 10 years)
Responsibilities
- - You'll lead our prediction teams where you will be responsible for creating models to understand our user responses to ads
- - You'll work across several Engineering and Business teams to scale your deliverables and bring an improved user experience and monetization potential to our platform
- - You'll have the opportunity to work on a platform with extreme scale requirements
- - You should have experience developing and implementing ad algorithms, yield optimization solutions and marketplace data analyses within an ad network
- - You have excellent understanding of scalable architectures including operational concerns
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Senior Machine Learning Manager – Ads Predictions
Apple
Senior Machine Learning Manager – Ads Predictions
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 looking for an ambitious individual who can thrive in an Agile environment. You will drive strategic outcomes through substantial innovation programs across multiple fields by leading the development and application of advanced techniques and algorithms to improve our ad network. You have, or will develop a deep understanding of the ad network behavior, and will work with business and engineering leadership to develop and prioritize an innovation roadmap across multiple technical domains. You'll lead the function that conceives of, develops, and delivers state of the art capabilities that differentiate our products and are core to our business. We are looking for an exceptional hands-on machine learning (ML) manager who can thrive in a fast-paced environment. In this role you will oversee the strategy and development of our inference models to predict user interaction with our Ads. You'll work closely with Product Management partners to build a roadmap and lead teams to propose, design and analyze new algorithms; detect meaningful data patterns and signals while adhering to our strict privacy policies; measuring user, campaign and app performance; and finally analyzing the results of extremely large-scale experiments. Your ability to be a great teammate under tight deadline constraints is key to success. - You'll lead our prediction teams where you will be responsible for creating models to understand our user responses to ads - You'll work across several Engineering and Business teams to scale your deliverables and bring an improved user experience and monetization potential to our platform - You'll have the opportunity to work on a platform with extreme scale requirements - You should have experience developing and implementing ad algorithms, yield optimization solutions and marketplace data analyses within an ad network - You have excellent understanding of scalable architectures including operational concerns
Locations
- New York City, New York, United States 10022
Salary
Estimated Salary Rangemedium confidence
80,000,000 - 150,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- thrive in an Agile environmentintermediate
- leading the development and application of advanced techniques and algorithmsintermediate
- deep understanding of ad network behaviorintermediate
- develop and prioritize an innovation roadmapintermediate
- conceives of, develops, and delivers state of the art capabilitiesintermediate
- hands-on machine learning (ML) managementintermediate
- thrive in a fast-paced environmentintermediate
- oversee the strategy and development of inference modelsintermediate
- predict user interaction with Adsintermediate
- build a roadmapintermediate
- lead teams to propose, design and analyze new algorithmsintermediate
- detect meaningful data patterns and signalsintermediate
- adhering to strict privacy policiesintermediate
- measuring user, campaign and app performanceintermediate
- analyzing the results of large-scale experimentsintermediate
- great teammate under tight deadline constraintsintermediate
- creating models to understand user responses to adsintermediate
- scale deliverables across Engineering and Business teamsintermediate
- improve user experience and monetization potentialintermediate
- work on a platform with extreme scale requirementsintermediate
- developing and implementing ad algorithmsintermediate
- yield optimization solutionsintermediate
- marketplace data analyses within an ad networkintermediate
- excellent understanding of scalable architecturesintermediate
- operational concernsintermediate
Required Qualifications
- 7+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data sets (experience, 7 years)
- You can actively participate in investigations into multiple streams of ads quality data, and draw conclusions from data, recommend actions (experience)
- You have experience in some of the following domains: Algorithms, Architecture, Artificial Intelligence, Database Systems, Data Mining, Distributed Systems, Machine Learning, Networking, Statistics, Game Theory, Auction Design, or other experience with rigorous Quantitative Analysis or Systems Software implementation (experience)
- Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics (experience)
- You have experience developing and leading teams who develop in Python or Java (experience)
- You are familiar with databases, SQL, and scripting languages (experience)
- Proven ability to take requirements from design through to implementation both independently and with larger teams (experience)
- You enjoy working closely with operational teams on deployment, monitoring, and management concerns (experience)
- You actively manage performance of the team reporting to you and take responsibility to drive its outcome (experience)
- MS in AI/ML/Mathematics/CS or related field (experience)
Preferred Qualifications
- 10+ years applying and leading teams that apply advanced statistical/ML methods and work with large, complex data setsPhD in AI/ML/Mathematics/CS or related field (experience, 10 years)
Responsibilities
- - You'll lead our prediction teams where you will be responsible for creating models to understand our user responses to ads
- - You'll work across several Engineering and Business teams to scale your deliverables and bring an improved user experience and monetization potential to our platform
- - You'll have the opportunity to work on a platform with extreme scale requirements
- - You should have experience developing and implementing ad algorithms, yield optimization solutions and marketplace data analyses within an ad network
- - You have excellent understanding of scalable architectures including operational concerns
Tags & Categories
Answer 10 quick questions to check your fit for Senior Machine Learning Manager – Ads Predictions @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs