Head Of Data Science - Document Verification & Biometrics (AI)

TL;DR

Head Of Data Science (AI): Driving the next generation of AI-powered document verification and biometrics solutions with an accent on foundation model–driven, agentic architectures. Focus on tackling sophisticated threats such as deepfakes and counterfeit documents while scaling a high-performing research team.

Location: Must be based within ~45 miles of San Francisco, New York, Seattle, Miami, or Washington DC

Salary: $250,000 - $300,000

Company

hirify.global is building the identity trust infrastructure for the digital economy, verifying identities in real time and preventing fraud.

What you will do

• Define the data science vision for Document Verification, Biometrics, and Reusable ID to improve accuracy and speed.
• Lead and scale a high-performing team of data scientists and applied researchers.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs).
• Develop domain-specific foundation models leveraging large-scale proprietary datasets.
• Lead the transition to agentic systems to automate verification workflows and adapt to fraud patterns.
• Advance capabilities for deepfake detection, presentation attack detection, and counterfeit document detection.

Requirements

• Must be based within ~45 miles of San Francisco, New York, Seattle, Miami, or Washington DC.
• Unable to provide sponsorship support now or in the future.
• Advanced degree (MS/PhD preferred) in Computer Science, Electrical Engineering, Machine Learning, or a related field.
• 10+ years of experience in data science, ML, or applied AI with a track record of deploying production systems.
• Deep expertise in computer vision, multimodal AI, and biometric systems (face recognition, liveness detection).
• Proficiency in Python and modern ML frameworks such as PyTorch.

Nice to have

• Experience in customer-facing discussions, executive briefings, or public speaking engagements.

Culture & Benefits

• Opportunity to work on industry-defining problems at the intersection of AI, identity, and security.
• Competitive compensation, equity, and benefits.
• High-caliber team environment that values ownership, innovation, and high standards.
• Direct impact on the future of digital identity globally.