| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$102,100–$202,200 / yr
Posted
23 days ago
Closes
Nov 16, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $152k
$86k most similar roles pay here $251k

This role pays less than 75% of similar roles. Most pay $153,850–$208,800 — the shaded band above. At the midpoint, this role pays about $152k versus about $181k 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Join Microsoft's AI Monetization team as an Applied Scientist where you will build and maintain machine learning models for ad retrieval, quality prediction, and creative generation. You'll analyze web-scale data using advanced techniques like regression, classification, NLP, and optimization to form hypotheses and design experiments that yield actionable insights. Additionally, you’ll craft and optimize prompts for large language models to enhance their performance, ensuring they deliver accurate and relevant responses. This role involves working with petabytes of data using tools such as Python, R, C#, Java, and SQL while collaborating on complex problems to provide concise solutions for senior executives. Ideal candidates have a PhD or equivalent experience in fields like Computer Science or Statistics, along with expertise in machine learning frameworks like TensorFlow and PyTorch, and knowledge of large language models like GPT and BERT.

What you'll do

  • Build and maintain production machine learning models for ad retrieval and quality prediction.
  • Design experiments to analyze web-scale data using machine learning techniques like regression and classification.
  • Craft and optimize prompts for large language models to ensure accurate and relevant responses.
  • Analyze complex problems and provide concise, actionable insights for senior executives.
  • Wrangle petabyte-scale data using various tools and programming languages for advanced analytics.

What we're looking for

  • PhD in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field preferred.
  • 2+ years experience delivering, scaling, and maintaining machine learning products.
  • Experience working with Large Language Models (LLMs) like GPT and BERT.
  • In-depth knowledge of natural language processing techniques and concepts.
  • Hands-on experience with deep learning models and frameworks such as TensorFlow and PyTorch.
  • Strong algorithmic and analytical background to solve real-world problems.
  • Understanding of parallel or distributed processing, high performance computing, and stream computing.

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