Machine Learning Engineer

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October 13

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Keyless

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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.

51 - 200 employees

Founded 2019

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

📋 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