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Research Intern - AI Evaluation and Alignment at Microsoft · Redmond
InternshipOn-siteRedmond, WA
Skills
large language models (llm)prompt engineeringrewards modelingpythonmachine learningdeep learning frameworkspytorchtensorflowsoftware engineering best practicesgitllm post-training and evaluationresearch publication
Job Description
Summary: Microsoft is a leading technology company seeking Research Interns to join their Research and Copilot Studio team. The role involves collaborating with applied scientists to advance the evaluation and alignment of Large Language Model (LLM)-based systems, focusing on improving AI systems to meet human expectations.
Responsibilities:
- Co-developing a research project in collaboration with the supervisor and research mentors
- Designing and implementing machine learning approaches, including training and fine-tuning using real-world datasets
- Developing evaluation frameworks and benchmarking methods to assess model quality, robustness, and generalization
- Presentation and communication of research findings
Required Qualifications:
- Currently enrolled in a PhD program in Statistics, Computer Science, Physics, Operations Research, or a related technical field
- At least 1 year of hands-on experience working on LLM-related projects (e.g., prompt engineering, building and evaluating LLM-based systems, rewards modeling etc.)
- At least 1 year of experience coding in Python
- Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship
- In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples
Preferred Qualifications:
- Prior experience in reward models for large language models or LLM-as-a-Judge
- Strong experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with software engineering best practices (e.g. git)
- Experience with LLM post-training and evaluation or LLM-based judge systems
- Research experience demonstrated through publications or projects
- Ability to work independently in ambiguous or rapidly evolving situations and collaborate effectively across disciplines
Required Skills: Large Language Models (LLM), Prompt Engineering, Rewards Modeling, Python, Machine Learning, Deep Learning Frameworks, PyTorch, TensorFlow, Software Engineering Best Practices, Git, LLM Post-Training and Evaluation, Research Publication
Benefits: Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay, Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Benefits
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-intern-pay
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.