Build AI That Has to Be Defensible

Most AI teams optimize a metric. This one has to build something a city council, an oversight body and a court can all look at afterwards, which is a harder and more interesting constraint.

The Company

About a Hundred People, Most of Them Technical

IREX is a distributed team of roughly 100 people, more than 50 of them engineers and data scientists, with executive leadership in the United States, Andorra and the UAE and regional delivery teams across Latin America and Europe. Engineering covers back end, front end and UX, DevOps and network operations, QA and support.

The work is in production in eight countries on more than 250,000 cameras, which means the systems you build are used by police officers, transit operators and airport security on live incidents. That is a strong reason to care about false positives.

Everything runs on an open-source stack, on customers’ own hardware, and IREX-authored components are available for source review or escrow. If you dislike building things nobody outside the company can inspect, that will suit you.

Where We Hire

Functions

Engineering

Back end, front end and UX, DevOps and network operations, QA, and support, on Kubernetes and an entirely open-source data plane.

Machine Learning and Data Science

Computer vision, Vision-Language Models, dataset construction including synthetic environments, and bias measurement.

Operations and Deployment

Solution architecture, site surveys, capacity modeling, and delivery on national-scale programs.

Go to Market

Public-sector business development, pre-sales engineering, bid and proposal work, and regional partnerships.

Ethics and Compliance

Governance, information security, and the audit and disclosure machinery the platform is built around.

Communications

Media relations, social, and video production, across a global public-sector audience.

What We Hold To

Working Here, Honestly

  • Mission first, and stated plainly. The company tagline is "Everyone Deserves to Live in Safety", and the missing-persons work with child-protection organizations is the part of the portfolio that decides whether the rest of it deserves to exist.
  • Ethics is an engineering constraint, not a policy team. Narrow constraints, Case ID, and the audit trail are in the architecture, which means they are in your design reviews.
  • We disclose our own limitations. Where bias exists we publish its estimated impact; where we lack a certification we say so. If that habit annoys you, this will be a poor fit.
  • Distributed, and genuinely so. Leadership and delivery are spread across continents rather than one office with satellites.
  • We decline business. IREX runs background checks on prospective clients and actively declines parties it judges high-risk on data collection and security. Nobody here is asked to build for a customer the company would not defend.

FAQ

Are roles remote?

The team is distributed by default, with leadership in the United States, Andorra and the UAE and delivery teams across Latin America and Europe. Specific roles state their location and travel expectations.

What is the stack?

Entirely open source: Kubernetes, Ceph, Cassandra, Kafka, PostgreSQL, Elasticsearch and Apache Spark, with a proprietary CPU inference framework and an NVIDIA CUDA GPU pipeline for analytics. No third-party proprietary components are required.

How do I apply?

Write to [email protected] with what you would want to work on and why. A specific note about a problem in this space beats a generic application.

Tell Us What You Would Want to Build

We are more interested in what you think is wrong with public-safety AI than in a list of frameworks.