Drive innovation and achieve core objectives in OCR image search and related computer vision areas.
Explore and implement multi-modal techniques in existing projects to discover new applications and opportunities.
Lead research and development of advanced computer vision algorithms and techniques.
Collaborate with cross-functional teams to integrate computer vision solutions into products.
Desired Qualifications
2
OCROCR
VLMCLIPLLaVA
QA
Masters degree in Computer Science Software Engineering Electrical Engineering Mathematics Statistics or related field; software preferred.
At least 2 years of hands-on experience developing and implementing computer vision algorithms.
Extensive research and experience in text OCR form OCR practices image search and a deep understanding of the latest technologies.
Superb grounding in multimodal techniques including experience with Visual Language Modeling (VLM) and familiarity with multimodal architectures such as CLIP and LLaVA.
Demonstrated ability to integrate pre-trained models for document QA form extraction image search and related tasks.
Passion for cutting-edge technologies and a proven track record of delivering successful products.
Preference will be given to publications in peer-reviewed journals or top conferences.
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