AI Research Scientist, Real-Time Video Understanding & Physical AI

The Problem

As robots powered by learned policies enter real manufacturing environments, making them trustworthy becomes as important as making them capable. Learned policies can be confidently wrong — executing smoothly while doing something other than what was intended — and understanding what a robot is actually doing on a factory floor, in real time and from observation alone, is an open research frontier.

Our lab researches the AI systems that make robot fleets trustworthy in production: real-time perception and reasoning over robot behavior — and, at its core, detecting when a robot is doing something wrong — built on multi-camera video understanding and multimodal signals from the operating environment and the robot itself.

Samsung SDS builds and operates the systems behind Samsung's global manufacturing — thousands of production lines worldwide. This research is being developed with that environment as its destination.

This is not a monitoring dashboard project. It is a frontier problem in video understanding: not just recognizing what a robot is doing, but reliably detecting when it is doing it wrong — on continuous, real-world behavior, in real time, under production latency and cost constraints.

The Team

You would join a small, hands-on lab of PhD-level researchers — no layers between you and the research. Your research happens alongside real robots that our lab operates end-t