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Home›Jobs›Microsoft›Senior Applied Scientist
Microsoft

About Microsoft

Empowering every person and organization on the planet

🏢 Tech👥 100K+📅 Founded 1975📍 Redmond, Washington, United States

Key Highlights

  • Market cap exceeds $2 trillion
  • 100,000+ employees worldwide
  • Leading cloud services through Azure
  • Major clients include Walmart and BMW

Microsoft Corporation, headquartered in Redmond, Washington, is a leading technology company known for its software products like Windows and Office, as well as cloud services through Azure. With over 100,000 employees, Microsoft serves millions of customers globally, including major enterprises lik...

🎁 Benefits

Microsoft offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also enjoy a flexible remote...

🌟 Culture

Microsoft fosters a culture of innovation and inclusivity, emphasizing collaboration across teams and a commitment to diversity. The company values em...

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Microsoft

Senior Applied Scientist

Microsoft • United States, California, Mountain View, United States, Washington, Redmond

Posted 1d agoSeniorApplied scientist📍 Mountain view📍 Redmond
Apply Now →

Skills & Technologies

Machine learningNeural networksDecision trees

Overview

Microsoft is hiring a Senior Applied Scientist to design and implement advanced machine learning models for its advertising platforms. You'll work with technologies like neural networks and decision trees to enhance ad relevance and optimize user experiences. This role requires expertise in machine learning and a strong analytical background.

Job Description

Who you are

You have a strong background in machine learning and have spent several years designing and implementing models that drive real-world applications. Your experience includes working with various algorithms, including neural networks and decision trees, and you understand the intricacies of training data and feature engineering. You are adept at evaluating models both offline and online, ensuring they meet the performance standards required in a production environment. You thrive in collaborative settings, working alongside engineers and scientists to push the boundaries of what is possible in the advertising space. You are passionate about using data to drive decisions and improve user experiences, and you have a keen interest in the intersection of machine learning and economics.

Desirable

Experience with large-scale data processing and familiarity with cloud computing platforms would be beneficial. A background in advertising technology or user interaction modeling is a plus, as is knowledge of the latest trends in machine learning research.

What you'll do

In this role, you will be at the forefront of Microsoft's advertising innovation, designing and implementing state-of-the-art machine learning models that power key systems within Microsoft Ads and the Microsoft Audience Network. You will focus on understanding user interactions with ads, predicting click-through rates, and measuring user satisfaction. Your work will involve building and refining machine learning models, analyzing training data, and selecting the most effective features to enhance model performance. You will collaborate closely with cross-functional teams to ensure that the models you develop are integrated seamlessly into the advertising platform, providing scalable solutions that directly impact millions of users and advertisers. You will also be responsible for conducting experiments to evaluate the effectiveness of your models and iterating on them based on performance metrics.

What we offer

Microsoft offers a dynamic work environment where innovation is encouraged, and your contributions will have a significant impact on the advertising industry. You will have access to cutting-edge technology and resources to support your work. The company values diversity and inclusion, fostering a culture where everyone can thrive. Competitive compensation and benefits packages are provided, along with opportunities for professional growth and development within the organization. You will be part of a team that is dedicated to pushing the boundaries of machine learning and its applications in advertising, making a real difference in how users interact with ads online.

Interested in this role?

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