| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$142,800–$274,800 / yr
Posted
19 days ago
Closes
Nov 24, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $209k
$104k most similar roles pay here $293k

This role pays more than 87% of similar roles. Most pay $177,250–$208,800 — the shaded band above. At the midpoint, this role pays about $209k versus about $193k 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 1577 open roles on FindRole.

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

Most-posted roles

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At a glance

TL;DR · | Microsoft Careers

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As a Principal Applied Scientist on Microsoft's Signals Modeling team within AI Ads Engineering, you will design and implement cutting-edge machine learning models and algorithms to enhance ad relevance and optimize user experiences across Microsoft Ads and Copilot. Your daily responsibilities include developing scalable systems for ads selection and generation using advanced techniques like transformers and generative AI, conducting A/B testing and offline validation to refine model performance, and building robust data pipelines to handle large-scale datasets. Ideal candidates have extensive experience in deep learning, reinforcement learning, and transformer models, along with a strong background in programming and data analysis, aiming to drive innovation at web scale for millions of users and advertisers.

Skills

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

What you'll do

  • Develop and deploy advanced ML models to optimize ad relevance and user interactions.
  • Design scalable algorithms for ads selection, generation, and relevance across platforms.
  • Conduct A/B testing and offline validation to refine model performance and predictions.
  • Build robust data pipelines for handling large-scale datasets in AI applications.
  • Incorporate latest AI research advancements to drive innovation in Microsoft products.

What we're looking for

  • Extensive experience (6+ years) in developing and deploying large-scale machine learning models.
  • Expertise in generative AI, deep learning, reinforcement learning, transformers, or LLMs.
  • Strong programming skills for data analysis and model development.
  • Ability to design scalable algorithms for online and offline systems.
  • Experience with A/B testing and offline validation to evaluate model performance.

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