Applied Scientist II | Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $102,100–$202,200 / yr
Posted: 2 days ago
Closes: Dec 9, 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 71% of similar roles. Most pay $152,150–$208,750 — 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 1568 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1397 roles with salary data.

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At a glance

TL;DR · Applied Scientist II | Microsoft Careers

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We are seeking an Applied Scientist with expertise in Machine Learning, Generative AI, and Agentic Modeling to join our team focused on advancing Bing and Consumer Copilot through cutting-edge AI/ML technologies. The ideal candidate will build and own production machine learning models, work hands-on with state-of-the-art generative models like Qwen and Llama, and conduct large-scale data analysis using various techniques including NLP and optimization. Responsibilities include designing experiments, interpreting complex data sets, and providing actionable insights to senior executives. Proficiency in Python, C#, Java, or other object-oriented programming languages is essential, along with experience in data analytics and applied machine learning. This role involves handling petabyte-scale datasets and contributing to the development of innovative AI features that enhance generative search experiences at scale.

Skills

Python C# Java Scala R SQL NLP Machine_Learning Deep_Learning Data_Mining Regression Classification Feature_Engineering Statistical_Analysis Generative_Models LLMs CI/CD

What you'll do

Build and maintain production ML models to enhance performance outcomes.
Work directly with state-of-the-art generative AI models like Qwen and Llama.
Analyze large datasets using advanced techniques such as regression, classification, and NLP.
Design experiments, interpret data results, and provide actionable insights for decision-making.
Handle petabyte-scale data efficiently using a variety of tools and programming languages.

What we're looking for

Expertise in Machine Learning, Generative AI, Agentic Modeling, and Data Science.
Hands-on experience with large language models (LLMs) like Qwen, Llama, and GPT.
Proficient in Python and other object-oriented programming languages.
Strong background in data analytics, applied machine learning, and deep learning.
Ability to design experiments, analyze large-scale data, and derive actionable insights.
Experience in feature engineering, statistical analysis, and data mining techniques.

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