below marketmost similar roles pay hereabove market
This role pays less than
54%
of similar roles. Most pay
$162,000–$222,500
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$192k
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Senior Applied Scientist joins the team of Applied Scientists to design online advertising auctions for Microsoft Advertising. In this role, you will advance auction mechanism design by extending proven approaches to new markets and developing new auction solutions. You will evaluate existing algorithms, identify improvement opportunities, and validate solutions through large-scale experimentation. Daily responsibilities include building data pipelines and software for rapid prototyping, dashboards, and diagnostics while identifying high-impact areas for business metrics. You will utilize a technical toolkit including Machine Learning, Reinforcement Learning, Optimization Methods, and Azure/Microsoft Data Science tools. The work focuses on solving complex problems in ranking and pricing ads, requiring expertise in mathematical and statistical modeling, A/B experimentation, and data pipeline creation across different platforms to ensure long-term business success.
What does a Applied Scientist earn?
Median $208800 from 61 postings across 10 companies.
Generative AI
Large Language Models
Machine Learning
Natural Language Processing
Deep Learning
Synthetic Data Generation
Responsible AI
Inference Pipelines
Experimentation Frameworks
Privacy-Preserving ML
Computer Vision
Recommender Systems
Statistics
Large Language Models (LLMs)
Deep Learning
NLP
Reinforcement Learning
Fine-tuning
Model Optimization
Multimodality
A/B Testing
Data Curation
Predictive Analytics
Statistics
Computer Science
Python
PyTorch
Generative AI
Diffusion Models
VLM
Distributed Training
Multi-modality
Deep Learning
Data Curation
Captioning Pipelines
Image-to-Image
Mid-training
Pre-training
Post-training