Zero-Knowledge Likeness Proofs Researcher

Loti; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Well-being initiatives

Transparency in operations

Opportunity to work alongside experts

Job summary

Loti is seeking a professional to advance privacy-focused identity verification. This position involves designing zero-knowledge systems capable of biometric verification, ensuring that identities remain secure without disclosing personal data.

Ideal candidates will have experience with zero-knowledge proof systems and applied cryptography. Joining Loti means being part of a pioneering team dedicated to protecting digital identities while fostering a transparent and balanced work environment.

Qualifications

• Proven experience with zero-knowledge proof systems.
• 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 academic publications and open-source implementations.

Skills

Experience with zero-knowledge proof systems (Circom, Halo2, Noir, etc.)

Expertise in applied cryptography

Ability to translate complex theory into functional code

Tools

Semaphore

zkLogin

Job description

About Loti AI, Inc

world, Loti ensures your identity remains in your control. Our platform enhances human uniqueness, empowering individuals to choose what they share or keep private. We are building a future where personal autonomy and technological advancement exist in harmony, fostering creativity and benefiting society.

Role And Responsibilities

We're advancing privacy-focused identity verification. This research-driven position involves designing and testing zero-knowledge systems that can verify biometric likeness without revealing personal data, paving the way for secure identity in decentralized systems.

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 academic publications and open-source implementations

Ideal Background

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

Why Join Loti AI?

• Pioneering: We lead the way in protecting digital identity.
• Expertise: We trust our team and empower them to make decisions.
• Transparency: We communicate openly and learn from our experiences.
• Well-being: We foster balance between work and life.
• Discretion: We handle sensitive material with professionalism and care.