Nairobi, Nairobi City, Kenya Apply
Date posted
Jan 15, 2024
Work site
Up to 50% work from home
Travel
0-25 %
Role type
Individual Contributor
Profession
Research, Applied, & Data Sciences
Discipline
Data Science
Employment type
Internship
Overview
The Microsoft Africa Research Institute (MARI) is an institute closely combining foundational research, with product innovation, engineering, and design to create the technologies of the future.
Our mission is to understand, build and deploy innovative cloud, ML and AI technologies which not only address core opportunities in Africa and contribute to solving local challenges at scale, but which contribute to creating a more productive future of work, health, society, and sustainability globally.
The team is looking for a Machine Learning PhD Intern to join the team to work in the space of AI and equity for Africa. This internship will be full time position for 6 months, located in Nairobi, Kenya.
Qualifications
- Currently pursuing or recently completed a PhD in Machine Learning, Computer Science, or a related field.
- Experience with deep learning and natural language processing.
- Strong theoretical and practical knowledge of machine learning algorithms, with a preferred focus on NLP.
- Proficiency in programming languages such as Python, TensorFlow, and/or PyTorch.
- Clear understanding of Large Language Models (LLMs) & related AI technologies
- Passion for staying up to date with the latest advancements in AI & ML.
- Excellent problem-solving and critical-thinking skills.
- Effective communication and collaboration skills within a multidisciplinary team.
- Passionate about building the next generation of equitable AI technology for Africa
Join us in shaping the future of artificial intelligence, machine learning, and addressing societal challenges associated with LLMs.
Responsibilities
Expected Start Date: May/June2024
Employment type: Internship
Location: Nairobi, Kenya
Duration: 6-months
- Collaborate with our research and development team to design, implement, and optimize machine learning algorithms, with a focus on Generative AI and language models.
- Analyse and preprocess large datasets to extract meaningful insights for model development and/or finetuning.
- Evaluate and experiment with various machine learning models, frameworks, and techniques to investigate robustness and equity of LLMs in the African setting.
- Communicate research findings through publications, presentations, and engaging with the academic and research communities.