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Salary
$175k – $220k per year
Location
Hybrid (New York, United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 29, 2026.

Overview
Company
Impact
Profile match
Clearview AI built a facial recognition search engine over billions of images collected from public web sources. Founded in 2017 in New York, it sells identification tools to law enforcement agencies in the United States. The company has been at the centre of international debate and regulatory action over biometric privacy.

Clearview AI is the leading provider of facial recognition technologies to US law enforcement, state, and federal agencies. Our mission is to help our users solve crimes and prevent financial fraud with the responsible use of our facial recognition software. Our company is a high-octane, fast growing startup looking to hire enthusiastic and intelligent team members to join our team. To learn more about us, and our revolutionary facial recognition technology, please visit www.clearview.ai.

Position Summary: We are hiring a Senior Platform Engineer to design, build, and operate the data and infrastructure platform behind our facial recognition and data systems. This is a software-heavy, hands-on role for an engineer who is comfortable owning systems end to end, from architecture and implementation through deployment and on-call operation.

You will build pipelines that ingest petabyte-scale data into object storage and turn it into fast, queryable databases and vector stores, design large-scale storage and retrieval across hot and cold tiers, and run distributed services on container orchestration using declarative configuration and GitOps workflows. The platform runs in the cloud and operates within compliant federal environments, so reliability, security, and scale sit at the center of everything you build. We are looking for a strong distributed systems engineer with deep DevOps instincts who wants significant ownership and the autonomy to make sound technical tradeoffs.

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