This role pays more than
77%
of similar roles. Most pay
$177,250–$231,000
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$204k
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
599 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 564 roles with salary data.
The Principal Applied Science Manager will lead and grow a team of Applied Scientists focused on text, image, and multimodal creative AI. This role involves defining and executing the science roadmap for creative generation, personalization, creative understanding, and optimization. You will drive innovation using LLMs, multimodal foundation models, and generative AI technologies while partnering with Engineering, Product Management, Design, and TPM teams to deliver advertiser-facing solutions. Key responsibilities include establishing metrics and experimentation frameworks to measure business impact and translating opportunities into scalable AI solutions. You must possess expertise in machine learning, computer vision, and creative optimization systems. The work centers on building large-scale advertising, recommendation, ranking, and content generation products to improve advertiser ROI and user engagement within digital advertising and creative tooling platforms.
Large Language Models
Deep Learning
Information Retrieval
Agent Orchestration
Machine Learning
Retrieval-Augmented Generation
Prompt Optimization
Fine-tuning
Domain Adaptation
Data Mining
Program Synthesis
AI Evaluation
Telemetry
Production Deployment
Statistics
Predictive Analytics
Python
Machine Learning
Retrieval-Augmented Generation
Large Language Models
Data Engineering
OCI
knowledge-graph s
Data Pipelines
Statistical Analysis
Model Evaluation
Experimental Design
Bioinformatics
Genomics