Job Description

Working on the full loop from data to a served model to using it for R&D: sourcing and curating training data, quality and privacy gates, fine-tuning, alignment, deployment
Making each stage better, faster, and more measurable
Owning what goes into the corpus and why
Pushing past standard synthetic training methods by using the cybersecurity platform where the signal is whether a real attack actually succeeded against real defenses
Deploying models in customer environments: on-premises, air-gapped, compliant, on custom hardware, and adapted to the customer’s stack

Significant hands-on offensive security experience: penetration testing, red teaming, adversary simulation, or security research
Experience operating against real defenses, not just theoretical knowledge
Strong software engineering skills in Python
Comfortable with distributed systems, API design, databases, and cloud