Privacy-First ZK Likeness Researcher

Loti Ai; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Loti AI, Inc. is seeking a Zero-Knowledge Likeness Proofs Researcher to advance privacy-preserving biometric verification. You will explore zero-knowledge proof systems and collaborate with cryptographers to design and test privacy-centric identity verification in decentralized environments.

The role involves prototyping with tools like Semaphore and zkLogin, translating complex theory into practical code, and contributing to open-source implementations and academic publications.

Qualifications

• Experience with zero-knowledge proof systems (e.g., Circom, Halo2, Noir).
• Expertise in applied cryptography and identity protocols.
• Ability to translate complex theory into functional code.

Responsibilities

• Research zk-SNARKs and zk-STARKs for facial verification use cases.
• Collaborate with cryptographers on privacy-first compliance frameworks.
• Prototype with tools like Semaphore and zkLogin; contribute to open-source implementations.

Skills

zk-SNARKs/zK-STARKs

Applied cryptography

Code implementation

Tools

Semaphore

zkLogin

Job description

Loti AI, Inc. is seeking a Zero-Knowledge Likeness Proofs Researcher to advance privacy-preserving biometric verification. You will explore zero-knowledge proof systems and collaborate with cryptographers to design and test privacy-centric identity verification in decentralized environments.

The role involves prototyping with tools like Semaphore and zkLogin, translating complex theory into practical code, and contributing to open-source implementations and academic publications.