- Exp.: Not Specified
- Min. Education level: Master's Degree
- Specialism: Artificial Intelligence / Machine Learning / Economics or Statistics / IT or Computer Science / Mathematics
At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk.
Your Role and Responsibilities
IBM Research Africa is looking for Research Engineer interns (Masters level) to join our efforts in anomalous pattern detection and Trustworthy AI. The internship will provide selected students the unique opportunity to work with world-class scientists based in Nairobi and around the globe as part of the world’s largest research organization.
The exact starting time and duration will be agreed upon individually.
Successful applicants will demonstrate excellent coding (Python) and communication skills to quickly make contributions to research projects over the course of a few months. We will be giving preference to students with backgrounds in anomalous pattern detection, deep learning (PyTorch or Tensorflow) or Trustworthy AI concepts such as: bias, explainability, or causality.
Required Technical and Professional Expertise
- MS Degree in Machine Learning, Computer Science, Applied Mathematics, Statistics, or related fields
- Safely integrating novel code into larger projects
- Design, validation, and characterization of algorithms and/or systems
- Contributing to open source projects
Preferred Technical and Professional Expertise: None
About Business Unit
With more than 3,000 researchers in 12 labs located across six continents, IBM Research brings together hundreds of researchers who possess unparalleled industry expertise to address some of the world’s most challenging problems. Join us as we do pioneering work in areas such as cognitive computing, augmented intelligence, quantum computing, and blockchain, to name a few.