M-KOPA is a fast-growing FinTech company offering millions of underbanked customers across Africa access to life-enhancing products and services. From our roots as the pioneer in pay-as-you-go �PayGo� solar energy for off-grid homes, we have grown into one of the most advanced connected asset financing platforms in the world, empowering a broad range of customers to achieve progress in their lives.
What You'll Do
- Build generative AI models (VAEs, GANs, diffusion models) for financial inclusion across Africa
- Prototype and iterate advanced models, from credit risk assessment to customer behaviour modeling
- Publish research at top conferences (NeurIPS, ICML, ICLR, AAAI etc) while solving real-world problems
- Work with teams across Africa and Europe to deploy Machine Learning solutions that expand financial access
What You Need
- Hands-on experience or Academic Publication in generative models (VAEs, GANs, diffusion models, or related methods)
- Advanced expertise in mathematics, statistics, and theoretical computer science
- Experience with deep learning, reinforcement learning, or specialised Machine Learning domains
- Experience with structured or unstructured data
- Proven ability to translate research into scalable algorithms
- Ideally a publication record in Machine Learning research (NeurIPS, ICML, ICLR, AAAI etc preferred)
Method of Application
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