Machine Learning Engineer II

📋 Description

• Design systems combining rules, models, and features for email detection.
• Understand features that distinguish safe emails from attacks.
• Propose new feature groups or ML approaches; work with infra to productionize signals.
• Write code with testability, readability, and robust edge-case handling.
• Train models on well-defined datasets to improve specialized attacks.
• Monitor FN and FP; improve detection via feature engineering, rules, ML modeling.

🎯 Requirements

• 3+ years designing, building and deploying ML apps in NLP or related areas.
• 1+ years creating production-grade pipelines for training and evaluation.
• Experience with SQL, pandas, and Spark for data and metrics pipelines.
• Translate business requirements into simple, generalizable ML models.
• Fluent with Python and ML toolkits like numpy, sklearn, PyTorch and TensorFlow.
• BS degree in Computer Science, Applied Sciences, Information Systems or related field.

🎁 Benefits

• AI-assisted recruitment tools to help interview preparation; decisions are made by humans.
• Abnormal is an equal opportunity employer with information on EEO rights.