We build Africa’s leading identity verification service, expanding access to secure financial services across the continent in a fast-growing market. We have built proprietary machine learning algorithms and a technology platform to cater for all skin tones, entry-level devices and low bandwidth. We perform 10M+ identity checks per month and are Series B funded with enough revenue to focus on getting to profitability.
The role
- Deploy and optimize scalable full-stack ML serving applications across multiple frameworks (PyTorch, TensorFlow, vLLM) and using tech like FastAPI and NVIDIA Triton Inference Server
- Build MLOps from the ground up, including data annotation, monitoring, and evaluation.
- Fine-tune, optimize, and deploy multi-modal models, integrating LLMs with computer vision systems.
- Integrate computer vision and other ML model results with the rest of the tech stack, including front-end web and mobile interfaces and back-end database services.
You
- 5+ years professional experience in software engineering, with demonstrated experience working with large datasets, machine learning, and/or LLMs.
- Proficient in Python.
- Extensive experience with DevOps tools and practices, including CI/CD and containerization.
- Experience with AWS technologies (such as S3, EC2, RDS, DynamoDB) or similar cloud platforms (Google Cloud or Azure).
I founded and ran a YC company for 8 years before joining Smile ID. Smile ID is a fantastic place to work: meaningful mission, challenging engineering problems (scaling ML pipelines, multimodal models, hundreds of real-world enterprise integrations), and a genuinely talented team. You’re helping hundreds of millions of people access critical services—it’s incredibly rewarding. Highly recommend applying if you want tangible impact, great colleagues, and (optionally!) opportunities to travel in Africa.
Digital identification in low income countries seems like it just wants to bring the dystopian nightmare of identify management to those who would be better off without our mess.
We build Africa’s leading identity verification service, expanding access to secure financial services across the continent in a fast-growing market. We have built proprietary machine learning algorithms and a technology platform to cater for all skin tones, entry-level devices and low bandwidth. We perform 10M+ identity checks per month and are Series B funded with enough revenue to focus on getting to profitability.
The role - Deploy and optimize scalable full-stack ML serving applications across multiple frameworks (PyTorch, TensorFlow, vLLM) and using tech like FastAPI and NVIDIA Triton Inference Server - Build MLOps from the ground up, including data annotation, monitoring, and evaluation. - Fine-tune, optimize, and deploy multi-modal models, integrating LLMs with computer vision systems. - Integrate computer vision and other ML model results with the rest of the tech stack, including front-end web and mobile interfaces and back-end database services.
You - 5+ years professional experience in software engineering, with demonstrated experience working with large datasets, machine learning, and/or LLMs. - Proficient in Python. - Extensive experience with DevOps tools and practices, including CI/CD and containerization. - Experience with AWS technologies (such as S3, EC2, RDS, DynamoDB) or similar cloud platforms (Google Cloud or Azure).
Compensation: $160k-$210k + equity
If interested, please apply at https://wellfound.com/l/2AUVAy or email me directly at david@usesmileid.com.