Founding Engineer, Provenance Platform Engineering Remote · United States · Full-time

Humxn; United States; À distance; USD 120 000 - 180 000; Plein temps

Résumé du poste

Humxn is building a platform to prove provenance at scale. As an early backend engineer, you will own ingestion, fingerprinting pipelines for images, audio, video, documents and 3D data, and contribute to the audit trail behind every item.

You will shape architecture, tooling and engineering practices, build the buyer-facing API, and collaborate across teams to ensure correctness, security, and clear documentation. Nice to have: C2PA or ML data infra experience.

Qualifications

• Strong experience building production backend systems.
• Comfort with media processing, data pipelines or applied cryptography.
• Care about correctness, security and clear documentation.

Responsabilités

• Build ingestion and fingerprinting pipelines for images, audio, video, documents and 3D data.
• Work on provenance and signing, verification, and the audit trail behind every item.
• Build the buyer-facing API and exports teams use to pull data into training pipelines.
• Shape architecture, tooling and engineering practice as an early member of the team.

Connaissances

Backend systems

Media processing

Data pipelines

Cryptography

Documentation

Outils

APIs

Security practices

Description du poste

About the role

Every item we deliver carries its own proof: fingerprints, signed provenance, timestamps, consent records and a signed receipt. You'll build and own the platform that makes that true at scale.

What you'll do

• Build ingestion and fingerprinting pipelines for images, audio, video, documents and 3D data.
• Work on provenance and signing, verification, and the audit trail behind every item.
• Build the buyer-facing API and exports teams use to pull data into training pipelines.
• Shape architecture, tooling and engineering practice as an early member of the team.

What we're looking for

• Strong experience building production backend systems.
• Comfort with media processing, data pipelines or applied cryptography, and an interest in the others.
• Care about correctness, security and clear documentation.

Nice to have

• Experience with C2PA, content provenance or ML data infrastructure.