Remote Machine Learning Engineer II Job in United States Abnormal Security

Who you are

What the job involves

• Design and implement systems that combine rules models feature engineering and business and product inputs into an email detection product with senior engineer guidance
• Understand features that distinguish safe emails from email attacks and how our model stack enables us to catch them
• Identify and recommend new features groups or ML model approaches that can significantly improve detection efficacy for a product
• Work with infrastructure & systems engineers to productionize signals to feed into the detection system
• Writes code with testability readability edge cases and errors in mind
• Train models on well-defined datasets to improve model efficacy on specialized attacks
• Actively monitor and improve FN rates and efficacy rates for our message detection product attack categories through feature engineering rules and ML modeling
• Analyze FN and FP datasets to categorize capability gaps and recommend short term feature and rule ideas to improve our detection efficacy
• Contribute in other areas of the stack: building and debugging data pipelines or presenting results back to customers in our tools when the occasion arises