Keyless
Cybersecurity • SaaS • Enterprise
Keyless is a privacy-first authentication company that provides passwordless, biometric-based identity and multi-factor authentication solutions for consumer and workforce use cases. Its Zero-Knowledge Biometrics approach ensures no biometric data is stored centrally while delivering fast passive liveness detection and device binding across web and mobile, enabling PSD2/SCA compliance, FIDO2 certification, and self-service account recovery. Keyless offers cloud and on-prem deployments, SDKs for integration, and targets enterprises looking to reduce fraud, helpdesk costs, and reliance on passwords or hardware tokens.
Machine Learning Engineer
Job not on LinkedIn
October 13
Keyless
Cybersecurity • SaaS • Enterprise
Keyless is a privacy-first authentication company that provides passwordless, biometric-based identity and multi-factor authentication solutions for consumer and workforce use cases. Its Zero-Knowledge Biometrics approach ensures no biometric data is stored centrally while delivering fast passive liveness detection and device binding across web and mobile, enabling PSD2/SCA compliance, FIDO2 certification, and self-service account recovery. Keyless offers cloud and on-prem deployments, SDKs for integration, and targets enterprises looking to reduce fraud, helpdesk costs, and reliance on passwords or hardware tokens.
📋 Description
• Develop and deploy machine learning models that power biometric solutions at Keyless. • Take ownership of the end-to-end machine learning lifecycle, from data preparation and model development to optimization and deployment.
🎯 Requirements
• 5+ years of experience in a similar role. • Proficiency in Python with strong programming and software engineering skills; familiarity with C++ is a plus. • Experience in machine learning frameworks such as TensorFlow or PyTorch. • Experience with Docker and CI/CD pipelines. • Hands-on experience with MLflow or similar tools for managing model lifecycle and versioning. • Strong foundational knowledge in Machine Learning • Expertise in areas such as Liveness Detection, Face Recognition, Quantization, Pruning, and large-scale training is a plus. • Experience in deploying models on edge / mobile devices is a bonus.
🏖️ Benefits
• Employee Stock Ownership Plan AKA Equity in the Company! • A laptop of your choice • Summer retreats, company's merchandising, social dinners, and many other perks! • Free accommodations & food when visiting the Rome office
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