| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $142,800–$274,800 / yr
Posted: 7 days ago
Closes: Nov 25, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $209k

$106k most similar roles pay here $293k

This role pays more than 76% of similar roles. Most pay $152,150–$208,800 — the shaded band above. At the midpoint, this role pays about $209k 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 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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As a Principal Applied Scientist at Microsoft Advertising, you will lead the development and modernization of large-scale click-through-rate prediction models for both search and display ads. Your day-to-day responsibilities include designing cutting-edge machine learning architectures, mentoring a growing team of scientists and engineers, and collaborating with product managers to translate business needs into actionable modeling goals. You will work extensively with deep learning frameworks, transformers, and multimodal data, while also modernizing existing pipelines for better reliability and performance. Key skills required are expertise in Python, TensorFlow or PyTorch, experience with distributed training systems like Kubernetes, and a strong background in machine learning research and engineering. This role demands a high level of technical proficiency and business acumen to drive innovation and improve the overall revenue-critical decision-making process at scale.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD Prometheus Grafana AWS Azure LLM-based tooling Transformer models Multimodal learning Deep learning Machine learning pipelines Feature engineering Model deployment Monitoring systems Experiment design

What you'll do

Lead the development and deployment of large-scale CTR models for Microsoft Advertising.
Design and implement cutting-edge ML architectures to enhance prediction accuracy and efficiency.
Modernize modeling pipelines by addressing technical debt in data flows, training, and inference systems.
Work with product managers to translate business needs into actionable modeling goals and strategies.
Own the holistic performance of machine learning models, focusing on quality, stability, latency, and revenue impact.
Mentor a growing team of scientists and engineers, fostering a culture of curiosity and high-quality scientific reasoning.

What we're looking for

PhD in Computer Science, Statistics, or related field with 6+ years of relevant experience
Extensive experience leading the development and deployment of large-scale machine learning models
Strong background in deep learning, including multi-task and transformer-based architectures
Proven track record of modernizing data pipelines and improving model performance and reliability
Ability to translate business needs into modeling goals and drive significant revenue impact
Experience mentoring and developing a team of applied scientists and ML engineers
Expertise in leveraging LLM-based tooling to enhance productivity and model development

| Microsoft Careers

Microsoft

US 46 days ago

Azure Python C# JavaScript R Terraform Bicep Azure Functions Docker API Management Azure Cognitive Services Azure OpenAI Azure AI Search Vector Indexes Azure Document Processing Infrastructure as Code CI/CD

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