Machine Learning Engineer - Ad Platforms
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
At Apple, we work every day to build products that enrich peoples lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Apple News, the App Store, and on Apple TV+. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.
The Ad Platforms Data Insights team is seeking a machine learning engineer to join in developing the next generation of analytical solutions working with Engineering, Sales, Product, Marketing and Finance! In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement of analytical solutions that're critical to running and growing the business.
Description
Responsibilities include turning the huge datasets generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and productivity for app developers. Do you have experience in applied research with expertise in pattern mining, anomaly detection, text analytics, predictive modeling, classification, and optimization? This role requires both broad knowledge of existing data mining algorithms and the creativity to invent and customize when necessary. You'll dig in and get into the details. The theory behind the techniques is just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios.
Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for a thoughtful, collaborative, and passionate person to join this amazing team!
- Partner with Sales, Product, Marketing and the Executive Team to deliver analytics for product performance and customer insight
- Develop end-to-end data solutions and reusable models and assets working closely with Data Technology team to ensure scalability and industrialization as models move into production
- Own complete lifecycle of data products, including prototyping, deployment, ongoing maintenance and supporting downstream users.
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for stakeholders
At Apple, we work every day to build products that enrich peoples lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Apple News, the App Store, and on Apple TV+. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.
The Ad Platforms Data Insights team is seeking a machine learning engineer to join in developing the next generation of analytical solutions working with Engineering, Sales, Product, Marketing and Finance! In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement of analytical solutions that're critical to running and growing the business.
Description
Responsibilities include turning the huge datasets generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and productivity for app developers. Do you have experience in applied research with expertise in pattern mining, anomaly detection, text analytics, predictive modeling, classification, and optimization? This role requires both broad knowledge of existing data mining algorithms and the creativity to invent and customize when necessary. You'll dig in and get into the details. The theory behind the techniques is just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios.
Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for a thoughtful, collaborative, and passionate person to join this amazing team!
- Partner with Sales, Product, Marketing and the Executive Team to deliver analytics for product performance and customer insight
- Develop end-to-end data solutions and reusable models and assets working closely with Data Technology team to ensure scalability and industrialization as models move into production
- Own complete lifecycle of data products, including prototyping, deployment, ongoing maintenance and supporting downstream users.
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for stakeholders