Machine Learning Engineer
Core
Build intelligent security tools and AI-powered capabilities for a password manager and threat detection platform using web understanding and large datasets.
Role type
Machine Learning Engineer (Security & Web Understanding)
Builds
AI-powered credential protection features, phishing detection, autofill capabilities, and agentic systems (LLM-based, RAG, tool-using agents) for millions of users.
Domain
Cybersecurity / Credential Management / Web Analysis
Deliverable
production ML models | product features
Required skills
Machine Learning, Python, Scikit-learn, Optuna, Onnx, MLOps (Dvc, Mlflow), Data Pipelines, LLM integration, RAG, Tool-using agents, Gitlab, Terraform, Sonarqube
Preferred skills
Experience with GenAI tooling, knowledge of public web form specifications (SAWF), collaboration with software engineers
Technologies
NodeJS, Typescript, React, Python, Scikit-learn, Optuna, Onnx, Dvc, Mlflow, Gitlab, Sonarqube, Terraform, Claude Code
Responsibilities
Collect data, train models, experiment, and analyze results for web understanding; Deploy and continuously improve AI-powered features and agentic systems in production; Maintain and improve data pipelines and model training integrations; Act as an AI Pioneer integrating modern GenAI tooling into workflows.
Seniority
Mid-Senior (4+ years experience)
