Join us to translate pioneering research into robust, scalable security systems and trustworthy LLM platforms that resist adversarial and behavioral exploits at enterprise scale
Job Summary
Join us to translate pioneering research into robust, scalable security systems and trustworthy LLM platforms that resist adversarial and behavioral exploits at enterprise scale.
As an AI Engineer, you'll own high-impact projects from research conception through production deployment, directly contributing to our platform's security guarantees while building scalable, maintainable infrastructure.
Your research ships directly, securing our core features and AI infrastructure at scale, bridging the gap between cutting-edge research and production systems.
Matching Summary
Join us to translate pioneering research into robust, scalable security systems and trustworthy LLM platforms that resist adversarial and behavioral exploits at enterprise scale.
Salary
$150-$160K Annually; Not specified; Not specified
Skills & Requirements
Must-have
LLM jailbreak attacks and defense
agentic AI safety
adversarial ML
production ML model deployment
distributed safety evaluation pipelines
large-scale data engineering
Nice-to-have
pioneering research into robust systems
translating research into production
collaborating with senior researchers
balancing velocity and rigor
Key Requirements
Master's degree in CS/EE/ML/Security or related field
2+ years of industry experience
Track record of publications in AI Safety, NLP robustness, or adversarial ML
Strong Python and PyTorch/JAX skills
Experience with containerization (Docker, Kubernetes)
Experience with cloud platforms (AWS, GCP, or Azure)