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Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: WA · CA
Salary: $119,800–$234,700 / yr
Posted: 99 days ago
Closes: Aug 25, 2026
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $193k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 62% of similar roles. Most pay $176,375–$208,800 — the shaded band above. At the midpoint, this role pays about $177k versus about $193k 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 Senior Applied Scientist at Microsoft’s MAI-Ads Engineering team, you will design and implement advanced machine learning models to enhance ad relevance across platforms like Bing and Copilot. Your daily tasks include driving algorithmic improvements with deep learning techniques from NLP and computer vision, ensuring scalable solutions that benefit millions of users and advertisers. You will collaborate closely with engineering, product management, research, and data science teams to translate scientific concepts into production systems while mentoring junior scientists and promoting best practices. The role requires expertise in natural language processing, deep learning, and recommender systems, along with experience in coding languages such as Python, C++, or Java. Your work will significantly impact Microsoft’s Ads and Shopping products, addressing complex business challenges at scale.

Skills

Python C++ C# Java NLP Deep Learning Transformer Models LLMs Computer Vision Vision Transformers CI/CD

What you'll do

Own and direct strategic solutions for high-impact relevance problems across Product Ads and Shopping.
Drive improvements to the system using advanced deep learning techniques from NLP and computer vision.
Optimize product ROI by making informed technical judgments on metrics, evaluation strategies, and tradeoffs.
Mentor and guide other applied scientists in modeling guidance and evaluation best practices.
Translate scientific intent into production-ready systems while collaborating with cross-disciplinary teams.
Independently anticipate risks and plan for unknowns to deliver sustained impact at scale.

What we're looking for

Bachelor's degree and 4+ years, Master's degree and 3+ years, or Doctorate and 1+ year of relevant experience in data science, machine learning, statistics, computer science, or related field.
Expertise in natural language processing (NLP) with deep learning technologies including transformers and large language models (LLMs).
Experience in computer vision (CV) with latest deep learning technologies such as Vision Transformers.
Proficient coding skills in production systems using C++, C#, Java, or Python.
Strong technical judgment on metrics, evaluation strategies, and tradeoffs to optimize product ROI.
Ability to mentor and lead other applied scientists by providing design reviews and documenting best practices.

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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