$150k–200k + equity
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-knowledgesystems, AI agents, and synthetic media detection. Pick the problems; we'll back thework.
- 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.