# Applied Scientist II

**Company**: Microsoft
**Location**: Sunnyvale, Redmond, Mountain View
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: USD $102,100 – $202,200 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/applied-scientist-ii-13/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0a1edc2b-423

## Description

We are seeking an Applied Scientist II to join our Search team at Microsoft AI. Our team is leveraging cutting-edge machine learning and LLM technologies to improve user engagement in Bing Search.

Responsibilities:

- Applying LLMs to improve search relevance and automate training data generation.

- Building state-of-the-art large-scale neural ranking models and feature processing frameworks.

- Leveraging reinforcement learning and user feedback signals to optimize long-term user engagement and retention.

- Developing scalable ML systems that power millions of search experiences every day.

Qualifications:

- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience.

- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience.

- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.

Preferred Qualifications:

- Solid background in machine learning, deep learning, and large-scale AI systems.

- Experience with LLMs, transformer-based models, retrieval, ranking, or recommendation systems.

- Solid understanding of neural network architectures, feature engineering, and model optimization.

- Experience developing and deploying production-scale ML systems.

- Proficiency in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlow.

- Solid software engineering skills, including distributed systems, data processing, and system design.

Benefits:

- The typical base pay range for this role across the U.S. is USD $102,100 – $202,200 per year.

- Certain roles may be eligible for benefits and other compensation.

## Skills

### Required
- machine learning
- deep learning
- large-scale AI systems
- Python
- PyTorch
- TensorFlow

### Nice to have
- LLMs
- transformer-based models
- retrieval
- ranking
- recommendation systems
- reinforcement learning
- online experimentation
- user engagement optimization

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Source: [Apply at microsoft.ai](https://microsoft.ai/job/applied-scientist-ii-13/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)