POWER A WORLD OF TRUSTIncode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.We’re in the process of rapidly scaling our diverse integral team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.Recently named a Leader in the Gartner Magic Quadrant for Identity Verification, we’re scaling fast - and we’re looking for world-class Machine Learning Engineers to help us keep pushing the boundaries of biometric technology.The Impact You’ll MakeAs a Machine Learning Engineer at Incode, you’ll design, build, and deploy the deep learning models that power our most advanced technologies — from facial recognition and liveness detection to document processing and ID validation.You’ll join a highly specialized engineering team working on solving complex, real-world challenges with cutting-edge ML architectures. Production-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed models.Research &





• Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production-grade solutions.Data Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflows.Collaborate &

• Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode’s production environment.Your Background5+ years of industrial experience in Machine Learning, Deep Learning, or Computer Vision.Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow.Demonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI).Facial Recognition - face recognition, age estimation, facial attributes analysis.Document Processing - OCR-based extraction, document analysis, and quality assurance.ID Verification - biometric data authentication and document integrity validation.The Qualities That Set You ApartDeep curiosity and technical excellence in AI and computer vision.Rocket-Ship Growth - Join at a defining moment where your work compounds in global impact.Ownership &

• Autonomy - Operate with the freedom to innovate, test, and deploy your ideas end-to-end.Global Impact - Your models will power secure, frictionless identity verification experiences across continents.Benefits &

• Perks:Flexible Working Hours &

• WorkplaceOpen Vacation PolicyEqual Opportunities:We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life.

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📌 Machine Learning Engineer - Fully Remote (Madrid)
🏢 Incode Technologies
📍 Madrid