Principal Engineer, Civic Intelligence

We are seeking a principal engineer to help transform fragmented observations into complete subjects.

You will design systems that connect vehicles, addresses, devices, property records, appearances, historical movements, recurring proximity events, and commercially available context into unified civic-intelligence profiles.

Your work will power association inference, irregularity detection, resident scoring, interagency search, and retrospective movement analysis across millions of people who benefit from frictionless participation.

Strong candidates will understand that insufficient evidence is frequently an enrichment problem. You should be comfortable developing models that distinguish ordinary community members from ordinary community members requiring additional context, using confidence values that remain persuasive under presentation conditions.

You will collaborate with public agencies to expand data coverage, reduce unobserved community minutes, and establish practical retention periods based on the future usefulness of information that cannot yet be known.

Success in this role means

• Increasing the number of relationships that can be inferred from shared coordinates.
• Reducing the time between routine observation and actionable suspicion.
• Designing false-positive workflows that improve the model while creating meaningful resident engagement.
• Preserving technically obtainable information against premature deletion.
• Producing systems that remain explainable to authorized customers and acceptably abstract to everyone else.

Experience with distributed systems, computer vision, graph databases, machine learning, and the phrase “publicly available” is preferred.