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Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $142,800–$274,800 / yr
Posted: 52 days ago
Closes: Oct 26, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $209k

$101k most similar roles pay here $293k

This role pays more than 95% of similar roles. Most pay $152,150–$207,350 — 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 1633 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1454 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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The Applied Scientist role at Microsoft Advertising's Ads Monetization Algo team involves optimizing ad performance through real-time bidding strategies and auction mechanism design. This senior-level position requires expertise in quantitative fields such as machine learning, optimization theory, and game theory to develop robust algorithms that enhance advertiser ROI and the overall health of the marketplace. Day-to-day responsibilities include designing bidding strategies, prototyping auction mechanisms, conducting large-scale experiments, and implementing automation algorithms using AI and ML techniques. The ideal candidate will have extensive experience in developing live production systems and a background in auto-bidding or auction design, contributing to Microsoft Advertising's annual revenue of over 10 billion dollars through scalable solutions that impact millions of users globally.

Skills

Python Java C++ SQL Kubernetes Docker AWS Azure CI/CD TensorFlow PyTorch Scikit-learn Pandas Numpy Spark R Jupyter Git GitHub PostgreSQL MSSQL Hadoop A/B Testing Machine Learning Optimization Theory Control Theory Game Theory Economics Operations Research Causal Inference Information Retrieval

What you'll do

Design bidding strategies using optimization and control theory techniques.
Analyze and prototype auction mechanisms for specific product areas.
Oversee large-scale experiments to enhance marketplace health with advanced analytics.
Develop automation algorithms for advertisers to boost ROI through AI and ML.
Implement methods to optimize the ad marketplace at a large scale efficiently.

What we're looking for

Extensive experience in statistical machine learning and decision theory.
Strong background in optimization theory, mathematical modeling, and data mining.
Experience designing and analyzing auction mechanisms using game theory and mechanism design.
Proficient in developing automation algorithms for advertisers to enhance ROI.
Expertise in implementing large-scale systems for marketplace optimization.

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