Senior Applied Scientist

Microsoft

Quick summary

Work type: On-site
Location: Mountain View, CARedmond, WA
Salary: $119,800–$234,700 / yr
Posted: today
Closes: Dec 29, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 55% of similar roles. Most pay $145,200–$208,850 — the shaded band above. At the midpoint, this role pays about $177k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 368 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 347 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist

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As a Senior Applied Scientist on Microsoft's Advertising team, you will design and implement advanced machine learning models to enhance ad relevance and user engagement across platforms like Microsoft Ads and Copilot. Your daily tasks include developing scalable algorithms for content selection and user behavior prediction, driving experimentation through A/B testing, and building robust data pipelines for large-scale datasets. The role requires expertise in cutting-edge technologies such as transformers, generative AI, and reinforcement learning to optimize ad allocation and pricing based on user intent signals. You will work with high-dimensional data and contribute to the team's mission of delivering state-of-the-art solutions that impact millions of users globally.

Skills

Python TensorFlow PyTorch Keras Scikit-learn Pandas NumPy AWS Azure Google Cloud Platform Docker Kubernetes CI/CD SQL PostgreSQL Redis Hadoop Spark A/B Testing Reinforcement Learning

What you'll do

Develop and deploy advanced machine learning models to optimize user interactions and ad relevance.
Design scalable algorithms for online and offline systems to enhance content selection and user engagement.
Drive experimentation through A/B testing and offline validation to refine model performance and predict user behavior.
Build robust data pipelines for handling large-scale, high-dimensional datasets in AI applications.
Stay updated with the latest AI research advancements to drive innovation across Microsoft platforms.

What we're looking for

Master's degree in a relevant field with 3+ years of related experience or Ph.D. with 1+ year(s) of experience.
Strong programming skills and extensive data analysis expertise.
Experience developing and deploying large-scale machine learning models.
Expertise in generative AI, deep learning, and transformers.
Proven knowledge and application of reinforcement learning and contextual bandits.

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