As 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 validationYou’ll join a highly specialized engineering team working on solving complex, real-world challenges with cutting‑edge ML architecturesYour work will directly influence how people verify their identity safely, seamlessly, and securely around the worldInnovate & Optimize - Develop and refine state‑of‑the‑art deep learning models for computer vision applications such as facial recognition, liveness detection, and document processing and validationProduction-Ready Solutions - Architect and maintain scalable, efficient ML pipelines and ensure production-readiness and cost efficiency of deployed modelsResearch & Discovery - Stay at the forefront of academic and industry breakthroughs, experiment with emerging architectures and algorithms, and translate research into production‑grade solutionsData Mastery - Drive improvements in model performance through robust data preprocessing, cleaning, and analysis workflowsCollaborate & Communicate - Partner closely with research, product, and engineering teams to integrate ML solutions seamlessly into Incode’s production environmentMentorship & Leadership - Provide technical guidance, share best practices,



and contribute to building a culture of innovation and continuous learningBenefitsMeaningful EquityFlexible Working Hours & WorkplaceOpen Vacation PolicyWellness ProgramInternational Travel OpportunitiesAdditional benefit package according to location (401k, medical insurance, etc.)RequirementsProven ability to design and maintain end-to-end ML pipelines5+ years of industrial experience in Machine Learning, Deep Learning, or Computer VisionDocument Processing – OCR-based extraction, document analysis, and quality assuranceSpecialized expertise in at least one of the following areas:Facial Recognition – face recognition, age estimation, facial attributes analysisID Verification – biometric data authentication and document integrity validationLiveness Detection – facial authentication, anti-spoofing, and anti-deepfake defenseDemonstrated experience developing, deploying, and optimizing models for both performance and cost efficiency in production environments (including edge AI)Passion for mentoring talent and thriving in both long-term research and rapid iteration cyclesTrack record of research contributions or publications in deep learning and computer visionExcellent communication and collaboration skills across cross‑functional teamsExpertise in Python and deep learning frameworks such as Py Torch or Tensor FlowDeep curiosity and technical excellence in AI and computer visionStrong analytical thinking balanced by practical executionCollaborative spirit and ability to simplify complex ideas for diverse audiencesCommitment to innovation, scalability, and continuous improvementBuilder mindset with a drive to deliver real‑world impact through applied research

📌 Machine Learning Engineer (Madrid)
🏢 Incode Technologies
📍 Madrid