Machine Learning Engineer

About the role

Join Abnormal AI, a leading cybersecurity startup, as a Machine Learning Engineer. You will be part of the Message Detection - Attack Detection team, working on building a high recall Detection Engine to combat evolving cyber threats. Your role will involve designing and implementing systems that combine rules, models, feature engineering, and business inputs into an email detection product. You will also analyze datasets to improve detection efficacy and contribute to other areas of the stack. Key missions: Conception et mise en œuvre de systèmes combinant règles, modèles, ingénierie des caractéristiques et inputs commerciaux pour un produit de détection des e-mails.. Formation de modèles sur des ensembles de données bien définis pour améliorer l'efficacité du modèle sur des attaques spécialisées.. Surveillance active et amélioration des taux de faux négatifs et d'efficacité pour notre produit de détection des messages. Profile: - 3+ years experience designing, building and deploying machine learning applications in one of the domains of text understanding, entity recognition, NLP experience, computer vision, recommendation systems, or search - Ability to understand business requirements thoroughly and bias toward designing a simplest yet generalizable ML model / system that can accomplish the goal - Experience with big data, statistics and Machine Learning - BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field - Experience with data analytics and wielding SQL+pandas+spark framework to both build data and metric generation pipelines, and answer critical questions about system efficacy or counterfactual treatments - Uses a systematic approach to debug both data and system issues within ML / heuristics models - Effective software engineering skills who can find answers quickly from code base and writes structured, readable, well tested and efficient code - 1+ years of experience with writing stable and production level pipelines for model training and evaluation leading to reproducible models and metrics - Fluent with Python and machine learning toolkits like numpy, sklearn, pytorch and tensorflow - Experience with algorithms and optimization - MS degree in Computer Science, Electrical Engineering or other related engineering field