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Engineer (Operating Room Scene Understanding)
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Job Description
Job Responsibilities:
Implement and optimize scene graph-based operating room understanding systems.
Engineer multimodal fusion and dynamic scene modeling for object detection, relationship inference, and semantic annotation.
Deploy scene graphs for workflow analysis, behavior understanding, and device interaction modeling.
Build efficient multi-view data processing and geometric alignment pipelines.
Support technology transfer and system delivery for research outcomes.
Requirements:
Master's/bachelor's degree in computer science, software engineering, or related fields (exceptional undergraduates considered).
Experience in scene graph generation, object detection, relationship modeling, or semantic annotation.
Knowledge of multi-view geometry (camera calibration, SfM, MVS).
Proficiency in AI frameworks (PyTorch, HuggingFace Transformers) and coding.
Strong engineering skills in multimodal data processing and system development.
Preferred Qualifications:
Experience in scene graph generation/reasoning.
Familiarity with multimodal LLMs (CLIP, BLIP, LLaVA, InternVL, QwenVL).
Background in operating room research (behavior analysis, workflow recognition).
Experience in medical imaging, surgical video analysis, or video summarization.
Knowledge of privacy-preserving techniques and medical data security.
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