M-KOPA is the pioneer and global leader of Connected Asset Financing that offers millions of underbanked customers access to life-enhancing products. Our advanced connected asset financing platform combines digital micropayments and IoT connectivity to offer access to products including solar lighting, televisions, fridges, smartphones, financial services an...
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Mission-driven research: Every model you develop helps expand financial inclusion for under-banked populations
Immediate impact: See your work improve lives in real-time, not just citations
Global recognition: Join a company named by TIME100 as one of the world's most influential and by the Financial Times as Africa's fastest-growing for 4 consecutive years (2022-2025)
Research freedom: Publish, attend conferences, and collaborate with academic institutions while solving meaningful problems
Environmental impact: We're carbon-negative, having displaced over 2 million tonnes of emissions
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)
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