# Senior Applied Scientist

**Company**: Microsoft
**Location**: Hyderabad
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $120,000 - $180,000 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/senior-applied-scientist-68/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_51e8e754-d9e

## Description

The Crowd Intelligence Platform (CIP) team, part of the MAI platform organization, is building an AI-driven testing platform that ensures high quality for Microsoft AI products such as Bing, Copilot, MSN, and Edge,both pre-release and in production.

We are looking for a Senior Applied Scientist to help design, build, and scale AI-powered testing systems that can be applied generically across a wide range of cutting-edge MAI products. This role offers a unique opportunity to apply AI at scale to real-world product quality challenges and directly influence how MAI products are tested and improved.

Responsibilities:

- Build and scale AI-driven testing capabilities using LLMs, prompts, and agent-based workflows to validate MAI products across scenarios, geographies, and product surfaces.

- Design and optimize prompts, models, and agent behaviors to perform functional, quality, and experience-focused testing at scale.

- Collaborate closely with product and engineering teams across MAI and beyond to understand testing needs and translate them into efficient, AI-powered testing workflows.

- Develop metrics and evaluation frameworks to measure test quality, coverage, effectiveness, and signal accuracy across AI-driven testing pipelines.

- Create actionable outputs and insights (issues, summaries, trends, and recommendations) that product owners can directly consume to fix defects and improve product quality.

Qualifications:

- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ 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 5+ 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+ year(s) related experience (e.g., statistics, predictive analytics, research).

- OR equivalent experience.

- 4+ years of solid experience in Data Science, Applied AI, or Machine Learning, with a track record of building solutions that operate at scale.

- Hands-on experience with LLMs, prompt engineering, and/or agentic AI systems.

- Solid foundation in statistics, experimentation, and metrics design, especially for evaluating AI system quality.

- Experience working with data pipelines, model evaluation, and production systems.

- Ability to work across multiple product teams, influence without authority, and translate ambiguous testing needs into concrete AI solutions.

- Solid communication skills to explain complex AI outputs clearly to engineering and product stakeholders.

Preferred Qualifications:

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

- 3+ year(s) experience developing and deploying live production systems, as part of a product team.

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

## Skills

### Required
- LLMs
- prompt engineering
- agentic AI systems
- statistics
- predictive analytics
- research
- data science
- applied AI
- machine learning
- data pipelines
- model evaluation
- production systems

### Nice to have
- patents
- libraries
- peer-reviewed academic papers
- live production systems
- product teams

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Source: [Apply at microsoft.ai](https://microsoft.ai/job/senior-applied-scientist-68/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)