# Senior Applied Scientist

**Company**: Microsoft
**Location**: Redmond
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $119,800 - $234,700 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/senior-applied-scientist-73/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ced13979-e77

## Description

Join the Signals Modeling team, part of Microsoft AI Ads Engineering, to shape the future of advanced AI at web scale. In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences.

Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.

As a Senior Applied Scientist, you will:

- Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation, and ad relevance.

- Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.

- Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.

- Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.

- Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

Qualifications:

- Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Preferred Qualifications:

- Master’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 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.

Proven experience in programming and data analysis skills. Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers, or LLM. 5+ years of experience in developing and deploying large-scale machine learning models. Experience working on search, recommendations, and ads modeling is a huge plus.

## Skills

### Required
- Statistics
- Econometrics
- Computer Science
- Electrical or Computer Engineering
- Generative AI
- Deep Learning
- Reinforcement Learning
- Transformers
- LLM
- Programming
- Data Analysis

### Nice to have
- Machine Learning
- Data Science
- Artificial Intelligence
- Natural Language Processing
- Computer Vision

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Source: [Apply at microsoft.ai](https://microsoft.ai/job/senior-applied-scientist-73/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)