Senior Applied Scientist

Microsoft

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Mountain View, CARedmond, WA
Salary: $119,800–$234,700 / yr
Posted: 5 days ago
Freshness: Confirmed live yesterday
Closes: Mar 8, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $194k

This role $177k

$106k most similar roles pay here $248k

This role pays less than 51% of similar roles. Most pay $162,000–$226,950 — the shaded band above. At the midpoint, this role pays about $177k versus about $194k for comparable roles.

Based on 240 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 604 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 595 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist

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As a Senior Applied Scientist on the Signals Modeling team, you will design and implement state-of-the-art machine learning models and algorithms to power systems within Microsoft Ads, Microsoft Audience Network, and Copilot. You will be responsible for building models that predict user interactions with ads, such as click probability and advertiser page engagement, while managing training data, features, and both offline and online evaluations. Your daily work involves developing cutting-edge technologies including transformers, generative AI, reinforcement learning, and contextual bandits to optimize ad relevance and content selection. You will build robust data pipelines for high-dimensional datasets and conduct A/B testing to refine predictions. The role addresses the technical challenge of using signals of user and advertiser intent to determine which ads are allocated and at what price within the online advertising stack.

What does a Applied Scientist earn?

Median $208800 from 50 postings across 10 companies.

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Skills

Machine Learning Generative AI Transformers Reinforcement Learning Deep Learning Contextual Bandits Data Pipelines A/B Testing Linear Models Decision Trees Statistics Econometrics Predictive Analytics

What you'll do

Develop and deploy machine learning models including transformers, generative AI, and reinforcement learning for ad relevance.
Design scalable algorithms for online and offline systems to improve content selection and user engagement.
Build machine learned models to predict user interactions with ads on search results pages.
Conduct A/B testing and offline validation to evaluate model performance and refine behavior predictions.
Construct robust data pipelines to handle large-scale, high-dimensional datasets for advanced AI applications.
Utilize signals of user and advertiser intent to determine ad allocation and pricing.
Incorporate the latest AI research advancements to drive innovation across Microsoft platforms.

What we're looking for

Bachelor's degree in a relevant field and 4+ years of experience in statistics or predictive analytics.
Master's degree in a relevant field and 3+ years of experience in statistics or predictive analytics.
Doctorate in a relevant field and 1+ year of experience in statistics or predictive analytics.
Ability to pass the Microsoft Cloud background check.
Proven experience in programming and data analysis skills (preferred).
2+ years of experience developing and deploying large-scale machine learning models (preferred).
Proven expertise in Generative AI, deep learning, or transformers (preferred).
2+ years of experience in reinforcement learning and contextual bandits (preferred).

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