Machine Learning Scientist - Ad Campaign Optimization
Apple
Machine Learning Scientist - Ad Campaign Optimization
Job Description
At Apple, we strive every day to create products that enrich people’s lives. Apple Ads 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 are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You will develop models and systems that improve our platform across the board, develop production code to generate high quality ad recommendations and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will also drive strategic outcomes through substantial innovation in 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 product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of state of the art 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 tight deadline constraints is key to success. In this role, you will 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- developing and implementing machine learning algorithmsintermediate
- developing and implementing optimization algorithmsintermediate
- experience in ads spaceintermediate
- experience in recommendationsintermediate
- experience in search relevanceintermediate
- understanding of scalable architecturesintermediate
- working in Agile environmentsintermediate
- being a great teammateintermediate
- working under tight deadline constraintsintermediate
- designing scalable solutionsintermediate
- budget optimizationintermediate
- bid optimizationintermediate
- leading development of advanced techniques and algorithmsintermediate
- performing large scale and complex experimentsintermediate
- developing production codeintermediate
- generating high quality ad recommendationsintermediate
- driving strategic outcomes through innovationintermediate
- prioritizing innovation roadmapintermediate
- leading conception, development, and delivery of state of the art capabilitiesintermediate
- working with cross functional business partnersintermediate
- setting strategyintermediate
- bringing end-to-end solutionsintermediate
Required Qualifications
- 5+ years of experience in machine learning, quantitative methods, control systems, or reinforcement learning (experience, 5 years)
- Ability to apply and implement research concepts, ultimately in production quality code (experience)
- Experience defining clear, testable research hypotheses, including intended impact on the business (experience)
- Deep knowledge of design of experiments, online experimentation approaches, preferably at scale (experience)
- Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management (experience)
- Experience contributing and/or reviewing research for top conferences and publications (experience)
- Deep fluency in Java or Python. (experience)
- Experience with Spark, Hadoop or other distributed frameworks (experience)
- BS, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems (experience)
Preferred Qualifications
- 3+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale (experience, 3 years)
- Experience in ads optimization, recommendations, or search relevance optimization is highly preferred (experience)
- MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry. (experience)
Responsibilities
- In this role, you will 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.
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Machine Learning Scientist - Ad Campaign Optimization
Apple
Machine Learning Scientist - Ad Campaign Optimization
Job Description
At Apple, we strive every day to create products that enrich people’s lives. Apple Ads 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 are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You will develop models and systems that improve our platform across the board, develop production code to generate high quality ad recommendations and work closely with business partners to help drive the development of new products as well as perform large scale and complex experiments to understand their effects. You will also drive strategic outcomes through substantial innovation in 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 product management and business leadership to prioritize an innovation roadmap across multiple technical domains. You will lead the conception, development, and delivery of state of the art 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 tight deadline constraints is key to success. In this role, you will 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.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- developing and implementing machine learning algorithmsintermediate
- developing and implementing optimization algorithmsintermediate
- experience in ads spaceintermediate
- experience in recommendationsintermediate
- experience in search relevanceintermediate
- understanding of scalable architecturesintermediate
- working in Agile environmentsintermediate
- being a great teammateintermediate
- working under tight deadline constraintsintermediate
- designing scalable solutionsintermediate
- budget optimizationintermediate
- bid optimizationintermediate
- leading development of advanced techniques and algorithmsintermediate
- performing large scale and complex experimentsintermediate
- developing production codeintermediate
- generating high quality ad recommendationsintermediate
- driving strategic outcomes through innovationintermediate
- prioritizing innovation roadmapintermediate
- leading conception, development, and delivery of state of the art capabilitiesintermediate
- working with cross functional business partnersintermediate
- setting strategyintermediate
- bringing end-to-end solutionsintermediate
Required Qualifications
- 5+ years of experience in machine learning, quantitative methods, control systems, or reinforcement learning (experience, 5 years)
- Ability to apply and implement research concepts, ultimately in production quality code (experience)
- Experience defining clear, testable research hypotheses, including intended impact on the business (experience)
- Deep knowledge of design of experiments, online experimentation approaches, preferably at scale (experience)
- Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management (experience)
- Experience contributing and/or reviewing research for top conferences and publications (experience)
- Deep fluency in Java or Python. (experience)
- Experience with Spark, Hadoop or other distributed frameworks (experience)
- BS, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems (experience)
Preferred Qualifications
- 3+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale (experience, 3 years)
- Experience in ads optimization, recommendations, or search relevance optimization is highly preferred (experience)
- MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry. (experience)
Responsibilities
- In this role, you will 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.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Scientist - Ad Campaign Optimization @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs