Key Responsibilities: 

• Participate in the African Health Stories project focused on leveraging generative AI to produce multi-modal content which is medically accurate and culturally appropriate to help patients living with Type II Diabetes make appropriate lifestyle changes.
• Develop agentic solutions for producing and evaluating culturally tailored and medically accurate output.
• Contribute to advancing Microsoft Research Africa, Nairobi’s human-centred AI (HCAI) agenda by experimenting with new methods for scalable human-centred evaluation of generative AI outputs.
• Publish findings in top conferences or journals.
• Engage in close collaboration with an interdisciplinary team comprising Researchers, Applied Scientists, Designers, and Machine Learning Engineers across various Microsoft Research teams to drive innovation and facilitate knowledge sharing.

Required: 

• PhD in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, Physics, or related field or equivalent experience.
• Enrolled in, or recently completed, doctoral studies in Computer Science, Machine Learning, or related field.
• Knowledge of state-of-the-art and emerging Language Models, including their application in complex systems.
• Familiarity with Large Language Models such as the OpenAI GPT models, Phi3.5 etc., model fine-tuning techniques (LoRa, QLoRa), and quantization, prompting techniques (Chain of Thought, ReACT etc.), and Retrieval Augment Generation
• Coding and engineering skills to design and run experiments and help to drive research into product.