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Microsoft

Quick summary

Work type: On-site
Location: Mountain View, CARedmond, WA
Salary: $119,800–$234,700 / yr
Posted: 74 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 64% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Senior Applied Scientist on Microsoft's Advertising team in Mountain View, CA, or Redmond, WA, 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 online and offline systems, building robust data pipelines, and conducting A/B testing to refine model performance. You will work with cutting-edge technologies such as transformers, generative AI, and reinforcement learning, focusing on predicting user interactions and optimizing ad allocation based on signals of intent. The team leverages large-scale datasets and advanced frameworks to drive innovation in the online advertising space, addressing complex challenges at the intersection of machine learning and economics.

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 and frameworks to handle large-scale, high-dimensional datasets for AI applications.
Stay updated with the latest AI research advancements to innovate and drive impact 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 related experience.
Strong programming and data analysis skills, including experience with large-scale machine learning models.
Expertise in generative AI, deep learning, transformers, reinforcement learning, and contextual bandits.
Experience designing scalable algorithms for online and offline systems to enhance user engagement and ad relevance.
Ability to drive experimentation through A/B testing and offline validation to refine model performance.

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