Engineering
Back end, front end and UX, DevOps and network operations, QA, and support, on Kubernetes and an entirely open-source data plane.
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
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
Back end, front end and UX, DevOps and network operations, QA, and support, on Kubernetes and an entirely open-source data plane.
Computer vision, Vision-Language Models, dataset construction including synthetic environments, and bias measurement.
Solution architecture, site surveys, capacity modeling, and delivery on national-scale programs.
Public-sector business development, pre-sales engineering, bid and proposal work, and regional partnerships.
Governance, information security, and the audit and disclosure machinery the platform is built around.
Media relations, social, and video production, across a global public-sector audience.
What We Hold To
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.
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.
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.
Keep Reading
We are more interested in what you think is wrong with public-safety AI than in a list of frameworks.