# Principal Applied Scientist

**Company**: Microsoft
**Location**: Mountain View
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $139,900 - $274,800 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/principal-applied-scientist-11/
**Canonical**: https://yubhub.co/jobs/job_ff5ec894-29f

## Description

## Summary

Microsoft are looking for a talented Principal Applied Scientist at their Mountain View office. This role sits at the heart of advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers.

## About the Role

We are seeking a Principal Applied Scientist to lead the next generation of click-through-rate (CTR) for Microsoft Advertising. This is a high-impact role responsible for advancing large-scale ranking models that power Microsoft Advertising, generating billions of impressions and revenue-critical decisions daily. You will combine deep machine learning expertise, solid engineering execution, and business intuition to modernize our prediction stack, drive model innovation, and mentor a growing team of scientists and engineers. This role is ideal for someone who thrives in complex, high-scale systems, who brings thought leadership to ML strategy, and who raises the bar for engineering rigor, curiosity, and business-driven decision making across the team.

## Accountabilities

- Lead the end-to-end development of large-scale CTR and other user response signal models for Search and Display ads.

- Design, prototype, and ship cutting-edge ML architectures (deep models, multi-task, transformer-based, LLM-assisted, multimodal).

## The Candidate we're looking for

**Experience:**

- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

**Technical skills:**

- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

- 5+ years experience conducting research as part of a research program (in academic or industry settings).

**Personal attributes:**

- 3+ years experience developing and deploying live production systems, as part of a product team.

- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

## Benefits

- Competitive salary.

- Comprehensive benefits package.

- Opportunities for professional growth and development.

- Collaborative and dynamic work environment.

## Skills

### Required
- Machine Learning
- Statistics
- Econometrics
- Computer Science
- Electrical or Computer Engineering

### Nice to have
- Deep Learning
- Natural Language Processing
- Computer Vision