TL;DR

Senior Applied Scientist (AI/ML): Designing and implementing state-of-the-art machine learning models and algorithms to optimize ad relevance and user experiences across Microsoft Ads and Copilot with an accent on transformers, generative AI, and reinforcement learning. Focus on developing scalable solutions for content selection, user engagement modeling, and ad generation within online and offline systems.

Location: This role is available in Redmond, United States or Mountain View, CA. %hirify_global% (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week.

Salary: USD $119,800 – $234,700 per year (general US range); USD $158,400 – $258,000 per year (San Francisco Bay area and New York City metropolitan area).

Company

Microsoft is innovating rapidly in the advertising space by providing a state-of-the-art online advertising platform and service, with the advertising team at the core of this effort.

What you will do

Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance.
Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.
Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Requirements

Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
OR Master’s Degree AND 3+ years experience, OR Doctorate AND 1+ year experience in a related field.
Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check.
Must work from office at least four days per week if living within a 50-mile commute of a designated Microsoft office in the U.S.

Nice to have

Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
OR Doctorate in a related field AND 3+ years related experience.
Proven experience in programming and data analysis skills.
2+ years of experience in developing and deploying large-scale machine learning models.
Proven expertise in Generative AI, deep learning, or transformers.
2+ years of experience in reinforcement learning and contextual bandits.

Culture & Benefits

Microsoft's mission is to empower every person and every organization on the planet to achieve more.
Employees are encouraged to come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
Culture of inclusion built on values of respect, integrity, and accountability.
Additional benefits and pay information is available on the Microsoft careers website.