Engineering at IRONSCALES spans design, architecture, data science, research, and analysis. Everyone on the team is passionate about building the most advanced email security technology in the industry.
In addition to building great things for our customers, we do things like speak at conferences, contribute to open-source projects, mentor future engineers, and all the other things people like us do for fun!
And if you like to solve interesting problems and build cool things, consider joining our team. You can learn about our guiding principles, hiring philosophy, and open positions on our Career Page.
Some of Our Work
Machine Learning Workflow for Parallel Model Improvements
Deploying machine learning models is hard. Deploying multiple machine-learning models in parallel is harder.
In this MLPOps Community talk, we discuss our strategy for decomposing a machine learning system and providing components that allow highly parallelized development.
Developing a machine learning model
In this post we discuss the methodology and workflow of our ML team and walk through a case study of deploying a real machine learning model at scale.
Avro Serialization with Kafka and AWS Glue
Avro is a popular serialization format for high throughput streaming applications however to get the benefits of improved performance it requires an external schema registry. In this talk, we will explore the challenges of using AWS glue as a schema
Data enrichment and contextual data pipelines
Contextual data is a critical element for a robust ml system yet building real-time data pipelines is very challenging. In this talk, we describe Ironscales' data systems, how we scaled to loads of 50k predictions per second, and how contextual ML models are used in ensemble with other classifiers.