# Applied Sciences INTERN

**Company**: Microsoft
**Location**: Multiple Locations, IL
**Job type**: internship
**Category**: IT
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/applied-sciences-intern/?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_43e9d6fd-9b5

## Description

We are seeking an Applied Sciences INTERN to join our team in Multiple Locations, IL.

**Responsibilities**

- Formulate and investigate applied research questions in large language models, agentic AI, and machine learning for real-world spreadsheet scenarios.

- Design and implement experiments, prototypes, and model or agent improvements, including prompt optimization, fine-tuning, post-training, retrieval, and tool-use approaches.

- Build and curate representative datasets, benchmarks, and evaluation methods that measure task quality, reliability, latency, and efficiency.

- Analyze model and agent behavior using quantitative metrics and qualitative error analysis; identify failure modes and translate findings into actionable improvements.

- Collaborate with applied scientists, engineers, and product partners to integrate promising research ideas into Microsoft 365 Copilot in Excel experiences.

- Communicate methods, results, limitations, and recommendations clearly through technical documents, presentations, and peer reviews.

**Qualifications**

- You are pursuing your doctoral research under the supervision of an advisor who is actively conducting research in LLMs domain, generative AI, or closely related fields.

- You have at least one full year of study remaining before completing your degree and are available to dedicate a minimum of 2 full days per week to the internship.

- Full proficiency in Python and common machine learning and deep learning frameworks such as PyTorch, TensorFlow, or equivalent tools.

- Good familiarity with using coding agents like Claude code and GitHub copilot.

**Preferred Qualifications**

- Publications at recognized conferences or journals in the LLMs domain are highly valued, particularly work involving post-training, model adaptation, agentic AI, or evaluation.

- Demonstrated knowledge and experience in designing rigorous experiments, curating high-quality datasets, developing benchmarks and graders, and applying statistical methods to evaluate and analyze model quality and behavior.

- Strong written and verbal communication skills and the ability to collaborate effectively in a multidisciplinary, globally distributed team.

- Previous professional experience in software engineering is considered an advantage.

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- machine learning
- deep learning

### Nice to have
- LLMs
- generative AI
- post-training
- model adaptation
- agentic AI
- evaluation
- software engineering

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