Senior Applied Scientist

Overview
Join the Signals Modeling team, part of Microsoft AI Ads Engineering, to shape the future of advanced AI at web scale.
In this role, the  Senior Applied Scientist  will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation.

Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities
Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.
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.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)  OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)  OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.

Proven experience in programming and data analysis skills.
Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
5+ years of experience in developing and deploying large-scale machine learning models.

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Applied Sciences IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year.
Find additional pay information here:

Applied Sciences IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.
Pour plus d'information au sujet de la rémunération, veuillez cliquer ici:

Ce poste sera ouvert pendant au moins cinq jours et les…