Applied Scientist II and Senior Applied Scientist | Microsoft Careers

Microsoft

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $152k

$86k most similar roles pay here $251k

This role pays less than 74% of similar roles. Most pay $152,150–$208,800 — the shaded band above. At the midpoint, this role pays about $152k 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 · Applied Scientist II and Senior Applied Scientist | Microsoft Careers

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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.

Skills

Python R C# C++ Java SQL TensorFlow PyTorch Keras NLP LLM DNN Attention CNN RNN Prometheus Grafana CI/CD AWS Azure

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.

Senior Applied Scientist and Principal Applied Scientist | Microsoft Careers

Microsoft

US 3 days ago $119,800–$234,700

Python TensorFlow PyTorch Kubernetes Docker CI/CD PostgreSQL AWS Azure Google Cloud Platform Scalability Large-Scale Computing Data Analysis Systems Deep Learning Speech Modeling Multimodal Modeling End-to-End Speech Technologies

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