R&D Engineer / Postdoc — Vision-Language Models for Monitoring on Existing Cameras

Description du poste

R&D Engineer / Postdoc — Vision-Language Models for Monitoring on Existing Cameras

• Contract type:

Fixed-term (10 months)

• Required degree:

PhD or equivalent

• Position:

Postdoctoral researcher

Context and assets of the position

This position is offered within the Inria Startup Studio programme at the Inria Centre at Lyon, as part of the Camly AI startup project.

The context

Warehouses, industrial sites and buildings already have cameras. They are used almost only to review footage after an incident. Meanwhile, risky situations settle in and last: a blocked emergency exit, an obstructed aisle, safety equipment made inaccessible.

Existing video analytics fit this need poorly. They often rely on detectors trained case by case, which are costly to adapt, or on intrusive technologies (facial recognition, people tracking) that are hard for employees and regulators to accept.

Camly AI takes a different approach. Vision-language AI agents connect to existing cameras, with no new hardware. Users describe in plain language what to watch; the system flags abnormal situations that persist and produces reports useful for safety and compliance. Privacy is a design principle: no facial recognition, no biometrics, no individual tracking. The project is moving: the core pipeline works, the first market is chosen (logistics warehouses in the Lyon region. The project is led by its founder, a PhD in computer vision with a background in industrial automation. What is missing is the research strength that will make the system measurably reliable on real surveillance footage: could that be you?

Assignment

Vision-language model evaluation.

Build a rigorous evaluation protocol for VLMs on monitoring tasks. Compare commercial and open-weight models on accuracy, false alarms, robustness to real conditions (lighting, high-angle views, cluttered scenes) and inference cost.

Adaptation and fine-tuning.

Adapt open-weight VLMs to Camly's tasks (fine-t

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