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About the role
Create, clean, and maintain high-quality training and evaluation datasets for specialized AI use cases. Fine-tune language models (small specialized through medium foundation models) for mission needs.
What they're looking for
- You’re motivated by real-world outcomes and want your work to directly impact national security missions
- You care about rigor: clean data, measurable evaluation, and repeatable experiments beat demos
- You balance research curiosity with product instincts—you ship, observe, iterate, and harden
- You’re comfortable working across cloud and on-premises constraints and adapting to the environment
- You communicate clearly with engineers and non-ML partners, and you write documentation people use
- You think in systems: models, retrieval, infrastructure, and feedback loops all have to work together
More about this role
America is under sustained cyber attack. Our adversaries infiltrate our networks, steal our IP, and degrade the digital infrastructure that modern life runs on. They’ve learned—correctly—that those attacks rarely produce consequences.
Twenty was founded to change that, by making our adversaries think twice before they attack us. Our vision is American and allied primacy in cyberspace—a future where they cannot contest us, deterrence is assured, and the free world remains secure.
Founded in 2024, Twenty Technologies ( www.twenty.io ) industrializes offensive cyber operations for the U.S. and its allies. Headquartered in Arlington, Virginia, Twenty has raised $168M from Khosla Ventures, Accel, Caffeinated Capital, Friends & Family Capital, Point72 Ventures, General Catalyst, and In-Q-Tel.
Mission | On Site | Full Time | U.S. Citizenship Required / No Active Clearance Required
You’ll build and ship language-model-powered systems that strengthen Twenty’s mission-critical cyber capabilities for U.S. national security. You’ll own the end-to-end workflow—from curating specialized datasets and post-training models to deploying reliable inference and retrieval systems in production. You’ll...
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