Founding Machine Learning Engineer
Adaptive Security, NYC
The role
We are seeking our 2nd ML Engineer to define and build Adaptive's ML capabilities. Our products use LLMs and ML models to detect, classify, and respond to cybersecurity threats in real time. The ML problems here are adversarial by nature. Attackers actively evolve to evade detection, labeled data is scarce for novel attack vectors, and models need to operate at production scale with strict latency constraints.
We don't have dedicated ML infrastructure or an ML team today. You'll be building this from the ground up. You will set the technical direction, stand up the infrastructure, and do the hands-on work yourself. You’ll be instrumental in growing the function as our ML surface area expands this year and beyond.
What you will do
- Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions.
- Design and build production ML systems end-to-end — data pipelines, model training, evaluation frameworks, and inference serving.