Microsoft Senior Research Data Scientist – LLM Memory & Agents Microsoft 

Taiwan, Taoyuan City 

936735649

Microsoft Research & Incubations is advancing transformative technologies to empower individuals and organizations globally. Within this division, the Special Projects team is seeking a Senior Research Data Scientist to join the GraphRAG initiative, focusing on cutting-edge work at the intersection of Large Language Models (LLMs), Small Language Models (SLMs), and graph machine learning. This role involves designing and evaluating experiments independently, with a focus on knowledge extraction, representation, and building innovative memory systems that push the boundaries of retrieval-augmented generation and drive real-world product impact. Some areas of research concentration include, but are not limited to:

• Large & Small Language Models
• Anomaly Detection, Machine Learning / Deep Learning, Data Science and Analytics
• Graph Machine Learning
• NLP, Transformers, Conversational AI, Chat Bots, Language Models, Text Prediction
• Computer Vision, Image Classification, Image Segmentation, Object Detection
• Model Compression, Pruning, Quantization, Distillation
• Systems Security, Software Security
• Operating Systems, Virtualization
• Distributed Systems, Cloud Infrastructure, Power and Energy Management
• Systems for ML Support for Systems, Program Verification, Resilient Systems
• Geospatial Systems, Data Visualization

Required Qualifications

• Bachelor's Degree in Computer Science or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Computer Science or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Doctorate in Computer Science or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• Experience with Python.
• Experience with Large Language Models (LLMs).

Preferred Qualifications

• Experience with small / large language models.
• Experience deploying research through to production.
• Experience in graph machine learning.
• Experience with manifold learning.
• Experience with cloud technologies such as Azure or AWS.
• Experience with full-stack development.
• Foundational knowledge in computer science.
• Ability to learn, analyze and solve hard problems
• Effective in team collaboration and communication within diverse teams.
• Experience in C#, Java, Rust, JavaScript/TypeScript.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Design, develop, and evaluate experiments involving language models.
• Develop and drive a high-impact research agenda and engineering plan.
• Collaborate to develop and test out new ideas within existing or new collaborations within the research group and with product partners.
• Build software systems that test new approaches or develop novel theoretical and practical insights.
• Prepare technical papers and presentations for journals and conferences.

• Embody our and .