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Researcher

💼 Full-time💰 $150,000–$200,000🗓 2026-07-26

Core

Conduct foundational research on digital authenticity, biometrics, privacy, and identity systems to counter adversarial AI and synthetic media.

Role type

Senior Researcher (AI/ML, Cryptography, Identity)

Builds

Production-ready research on zero-knowledge systems, agent identity, and synthetic media detection.

Domain

AI Security, Applied Cryptography, Digital Identity

Deliverable

production ML models | research | infrastructure

Required skills

AI/ML, applied cryptography, zero-knowledge proofs, biometrics, computer vision, agent systems, technical writing, system implementation

Preferred skills

adversarial ML, formal verification, cryptographic protocol design, large-scale biometric/identity system deployment, open-source cryptographic library contributions

Technologies

zero-knowledge proving systems, detection models, biometric template protection

Responsibilities

Lead original research on authenticity and identity; publish reference papers and technical documentation; collaborate with engineering to deploy research into production; represent the company in the research community via talks and discourse.

Seniority

Senior, hands-on IC with publication record

Rewrite
## About the Role The hard problem in digital authenticity isn't building a system that works — it's building one that holds up as the adversary changes. Generative models keep getting cheaper. Agents are starting to act on people's behalf at scale. The cryptographic and biometric primitives we depend on were mostly designed for a world without either. We're hiring a Researcher to work on that problem from the foundations up. You'll publish original research, write the technical material that defines how the field thinks about these questions, and work directly with our CEO, CSO, and Head of Technology to take findings into production. ## What You'll Do - Lead original research on authenticity, biometrics, privacy, identity, zero-knowledge systems, AI agents, and synthetic media detection. Pick the problems; we'll back the work. - Publish papers and technical documentation that other researchers in the space treat as reference material. - Work on the agent layer: how agents prove delegated authority, how identity systems distinguish them from humans, how trust models hold up as agents act at scale. - Collaborate with engineering and product to take research from whiteboard to deployed system, and stay close enough to implementation to know whether the result actually held up under load. - Represent VeryAI in the field — papers, talks, podcasts, online discourse. ## What You'll Bring - An original research record in some combination of AI/ML, biometrics, applied cryptography, zero-knowledge, identity, privacy, computer vision, or agent systems. - Depth in one or two of these matters more than breadth across all. - A track record of technical writing that other researchers read and cite. - Evidence of moving research into production: a system you shipped, a protocol you helped design, an open-source contribution others rely on. - Working knowledge in at least one of: detection models, computer vision, applied cryptography, ZK proving systems, biometric template protection, or agent identity and authentication. ### Strong candidates may also have - A background in adversarial ML, formal verification, or cryptographic protocol design. - Experience deploying biometric or identity systems at scale. - A history of contributing to open standards or open-source cryptographic libraries. ## Credentials A PhD is common in this kind of work and welcomed, but not required. A strong publication record, meaningful open-source contributions, or protocols you've helped ship can substitute. ## How to Apply Send a CV plus links to two or three pieces of writing or work you're proud of - papers, technical posts, protocol specs, or systems you helped build. We read everything candidates send.
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