# Applied Scientist

**Company**: Microsoft
**Location**: Mountain View, US
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Salary**: USD $102,100.00 – $202,200.00 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/applied-scientist-12/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_78b8a4a4-869

## Description

We seek an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale model optimization. The candidate should have hands-on experience working with LLMs, or SLMs such as Qwen, Llama, or its variants.

Building and owning production machine learning models to improve results. Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT, and others, to deliver big impact. Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization. Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them. Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL. Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

The role requires a Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. OR equivalent experience.

Ability to meet Microsoft, customer, and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred qualifications include 2+ years of proficient experience with C#/C++/Java/Python/Scala or any other OOP skills with a good knowledge of Data Structures/Algorithms. Passionate and have experience in data analytics, applied machine learning, deep learning, and/or related fields.

The typical base pay range for this role across the U.S. is USD $102,100.00 – $202,200.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800.00 – $219,200.00 per year.

## Skills

### Required
- Machine Learning
- Generative AI
- Agentic Modeling
- Data Science
- Qwen
- Llama
- Python
- C#
- R
- C++
- Java
- SQL

### Nice to have
- C#/C++/Java/Python/Scala
- Data Structures/Algorithms
- Data Analytics
- Applied Machine Learning
- Deep Learning

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Source: [Apply at microsoft.ai](https://microsoft.ai/job/applied-scientist-12/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)