At Delphos, you're stepping into a role where your work will pioneer uncharted territories. Here, every line of code and every idea contributes directly to innovations that could redefine global standards in cybersecurity. You’re not just a cog in the machine. If you think something is broken, fix it. If you do great work, we will all see the needle move. This isn’t just another job; it’s a chance to explore and expand the limits of what’s possible.
Help us redefine software security. At Delphos, we’re automating reverse engineering. We leverage AI to analyze compiled software to understand how it behaves, if it’s malicious, what it’s made of, and uncover vulnerabilities. As our Head of AI, you’ll drive the research and development of cutting-edge models, leading a team to push the boundaries of machine learning for program analysis.
What You'll Do:Team Leadership – Guide the AI research, setting technical direction and best practices as well as managing the team’s work.
Model Innovation – Develop and refine novel deep learning models for binary analysis and vulnerability detection.
Infrastructure Development – Oversee and support training and inference systems in parallel infrastructure.
Experimentation & Optimization – Design experiments to push model performance, ensuring accuracy, efficiency, and real-world applicability.
Collaboration & Mentorship – Work cross-functionally with engineers and security researchers while mentoring team members.
Scholarly Contribution – Publish research, contribute to the AI/security community, and help shape the future of binary analysis.
7+ years of experience in AI/ML research and development, with at least 5 spent in industry roles.
2+ years of experience in leading AI teams, mentoring researchers, and driving projects from ideation to deployment.
Strong background in deep learning, including extensive experience developing, training, and deploying advanced models; experience with transformers is highly preferred.
Excited to build and iterate quickly in an early-stage startup environment.
Passionate about pushing the limits of AI to solve high-impact, real-world challenges.
Background in CyberSecurity, reverse engineering or related fields - a plus.
Experience with distributed training and inference technologies - a plus.
We’re building languages models that can understand compiled code • We’re focused on code security, with applications in software supply chain security, vulnerability management, vendor risk management, and application security • We’re still in the early days—our team is just under ten people • We’ve raised from top-tier VCs (Jon Sakoda at Decibel, George Hoyem from In-Q-Tel, Bill Coughran from Sequoia, and Matt Ocko from Data Collective) •
Our CEO has worked in product management roles at the CIA, Palantir, and Lookout Mobile Security before moving into venture capital. • Our CTO was the VP of Innovation at SentinelOne, where he led the development of several core AI + Security projects.
Top Skills
What We Do
We help security teams uncover what’s hidden in compiled code, no source required. From malware triage to third-party validation, our AI platform unlocks natural language summaries, detailed component manifests, and visibility into security mitigations.
