We are an early-stage technology company building advanced infrastructure to enable trust, integrity, and verification for digital and AI-generated media. As synthetic content rapidly becomes mainstream, organizations are facing critical challenges around provenance, authenticity, security, and compliance.

Our mission is to develop next-generation systems that help enterprises and institutions verify the origin, integrity, and transformation history of digital assets at scale. We work at the intersection of:

Machine Learning
Media Forensics
Cryptography
Security Engineering
High-scale Content Workflows

If you’re passionate about solving one of the most important technical problems of the AI era, this is a rare opportunity to shape foundational technology from the ground up.

We are seeking a highly specialized Artificial Intelligence (AI) Fingerprinting / Perceptual Hashing Engineer to help design and implement robust algorithms for detecting similarity, manipulation, and tampering in multimedia content. Your work will power core systems that support content authenticity and verification for enterprise customers.

This is a senior-level, technically demanding position requiring deep expertise in media forensics, signal processing, and machine learning.

Key Responsibilities

Develop perceptual hashing and content fingerprinting algorithms for image, video, and audio media.
Design systems that detect transformations such as resizing, cropping, noise injection, color adjustments, re-encoding, compression, and generative modifications.
Build machine learning models for similarity matching and anomaly detection in large-scale media datasets.
Conduct adversarial testing to ensure robustness against synthetic media and AI-generated modifications.
Collaborate with engineering teams to integrate algorithms into production pipelines, APIs, and verification workflows.
Evaluate and optimize performance for speed, accuracy, and scalability.
Stay current with academic research in computer vision, steganography/watermarking, and multimedia forensics.

Required Qualifications

5–10+ years of experience in at least one of:
perceptual hashing
media forensics
computer vision
audio/video signal processing
deep metric learning
Strong knowledge of:
frequency-domain transforms (FFT, DCT, wavelets)
statistical feature extraction
similarity and distance metrics
tamper detection techniques
Proficiency with Python, PyTorch/TensorFlow, NumPy/SciPy, OpenCV.
Experience developing ML models for large-scale inference.
Strong understanding of adversarial robustness and synthetic media detection.
Ability to design and test production-grade algorithms.

Preferred but not required

Experience with GAN detection or deepfake forensics
Watermarking or steganography background
Familiarity with distributed vector search (FAISS, Milvus, Pinecone)
Experience with content authenticity standards (e.g., C2PA)
Publications or research contributions in related fields

Who You Are

You thrive in high-velocity startup environments.
You enjoy solving technically ambiguous problems requiring original R&D.
You like working closely with a CTO and founding engineering team.
You want to help define the future of AI media integrity at internet scale.
You prefer autonomy, experimentation, and ownership.

Why Join Us

A chance to work on one of the most important technical challenges of the next decade
The ability to shape core intellectual property and foundational infrastructure
A highly technical founding team with deep experience in AI, blockchain, security, and distributed systems
Competitive compensation + meaningful equity
Opportunity to influence architecture, research direction, and roadmap from day one

Work Location: Remote