Jumio runs an identity verification platform built on a deep computer-vision stack (PyTorch, TensorFlow, OpenCV, TensorRT, ONNX) served via SageMaker on AWS EKS/ECS. Recurring pain points around inference cost and model-serving latency show ML efficiency is a live engineering priority. It is evaluating React Native and Flutter for mobile SDK work, and its hiring splits almost evenly between senior-heavy sales and engineering even as overall velocity slows.
Jumio Corporation is a privately held identity verification company founded in 2010 and headquartered in Sunnyvale, California. Its platform uses biometrics, liveness detection and machine learning to help organizations verify customers online, combat fraud and financial crime, and meet KYC and AML obligations. It has 201–500 employees and a global presence spanning North America, Latin America, Europe, Asia Pacific and the Middle East. Current hiring covers India, Canada, the United States, Singapore and the United Kingdom.
Jumio runs on AWS (ECS, EKS, SageMaker) with Kubernetes, Terraform and Docker, uses PyTorch, TensorFlow, OpenCV, TensorRT and ONNX for ML, Milvus and FAISS for vector search, and Datadog, Grafana and Prometheus for observability.
Yes. Engineering and sales are Jumio's main hiring areas, skewed toward senior roles, across India, Canada, the US, Singapore and the UK, though overall hiring velocity is slowing.
Jumio's job posts point to face recognition system design, ML pipeline development, low-latency inference optimization, fraud-detection computer vision models and SageMaker model deployment.
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Jumio Corporation's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
