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Something new at Verkada

Build text search for footage without adding video to review

You’re the ai / ml engineer. Your team is in the room. Printed Oct 13, 2026.

Plain-language investigation needs broader retrieval without burying reviewers in weak matches.

Security managers need faster paths to relevant footage, while investigation results must remain reviewable and trustworthy.

Who you’d be doing this for

“I know what I’m looking for, but I’m still scrubbing through cameras while everyone waits for an answer.”

Mao He · Security Manager

Oversees incident investigations across a multi-site institution using camera footage.

What is at stake

Security managers are manually reviewing footage when existing filters cannot express what they saw. You must weigh broader retrieval against the time and trust lost to weak results.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • broad retrieval vs reviewer confidence
  • semantic relevance vs search latency
  • pilot learning vs established search reliability
  • model scores vs human investigation judgment

Why Verkada

Camera search across billions of frames determines whether distributed security managers can turn captured video into usable investigation evidence.

Written with these in mind

applied computer vision engineermultimodal retrieval engineerproduction ML systems builder

Not your kind of problem? 63 more at Verkada, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.