Research Intern

IBM Research Africa is seeking talented and motivated individuals for their Research Intern program at their Nairobi, Kenya lab. This exciting opportunity offers a chance to work alongside world-class scientists and engineers, tackling some of the most complex challenges in Artificial Intelligence, quantum computing, and blockchain technology.

Position: Research Intern

Location: IBM Research – Africa lab, Nairobi, Kenya

Duration: 12-week paid internship

About IBM Research:

IBM Research is at the forefront of innovation, pushing the boundaries of science and technology to create solutions that impact lives globally. From developing AI-powered healthcare solutions to advancing quantum computing, IBM Research scientists are dedicated to applying cutting-edge science to address real-world challenges.

Internship Overview:

This 12-week paid internship program offers a unique opportunity to immerse yourself in meaningful technology solutions, develop scalable software systems, and collaborate with research scientists and engineers in the fields of generative AI and cloud-based workflows. Interns will have the chance to contribute to projects that could shape the future of technology and society.

Key Focus Areas:

Depending on your skills and interests, you may work in one of the following cutting-edge domains:

1. Foundation Models: Explore the latest advancements in large-scale AI models

2. Cloud Platforms: Develop and optimize cloud-native technologies

3. Generative AI for Code: Innovate in the field of AI-assisted software development

4. Data for Climate and Sustainability: Leverage data science to address environmental challenges

Responsibilities:

• – Conduct research and develop innovative solutions in your assigned focus area
• – Collaborate with IBM scientists and engineers on ongoing projects
• – Implement and test scalable software systems
• – Analyze complex data sets and derive meaningful insights
• – Participate in team meetings and present your findings
• – Contribute to technical documentation and research papers

Requirements:

• – Currently enrolled in a master’s or PhD program in Computer Science, Machine Learning, Statistics, or a related technical field (Graduation date must be after August 2025)
• – Proficiency in Python/PyTorch and experience in at least one additional programming language (e.g., Java, JavaScript, NodeJS)
• – Strong problem-solving and analytical skills
• – Excellent communication and collaboration abilities
• – Passion for technology and innovation

Preferred Qualifications:

• – Experience presenting research in technical communities (e.g., publications in NeurIPS, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, or similar conferences)
• – Familiarity with cloud-native technologies and platforms
• – Understanding of machine learning concepts and experience with frameworks such as HuggingFace APIs
• – Previous internship or research experience in AI, data science, or related fields

Why Choose IBM Research Africa?

• – Work on cutting-edge projects with real-world impact
• – Collaborate with leading researchers and scientists
• – Access to state-of-the-art resources and technologies
• – Opportunity to contribute to published research
• – Gain valuable industry experience in a global technology leader
• – Potential for future career opportunities within IBM

How to Apply:

Interested candidates should submit their application, including a resume/CV, academic transcripts, and a brief statement of research interests. IBM encourages applications from diverse backgrounds and promotes an inclusive work environment.

Join IBM Research Africa in their mission to push the boundaries of technology and create innovative solutions that shape our world. This internship could be your first step towards a rewarding career in advanced technology research and development.

Note: IBM is an equal opportunity employer and values diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.