Engineer (AI on Video Analytics) 

Job Description

Responsibilities

The successful candidate will:

• Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI.
• Design AI models for concept-driven video understanding of consumer facial care behaviours.
• Work with PI and company to develop the AI solution
• Develop novel algorithms for:

–     Fine-grained video understanding

–     Concept learning

–     Temporal reasoning

–     Vision-Language Models (VLMs)

–     Multimodal representation learning

–     Self-supervised and weakly supervised learning

• Fine-tune and adapt Foundation Models and Vision-Language Models for domain-specific applications.
• Build end-to-end AI pipelines for video analytics and deployment.
• Work with industrial datasets and collaborate with domain experts from P&G.
• Publish research findings in top-tier AI conferences and journals.
• Mentor graduate students and support research activities within SNAIC.

Required Qualifications

Applicants should possess:

• PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline.
• Strong research background in one or more of:

–     Computer Vision

–     Machine Learning

–     Deep Learning

–     Video Understanding

–     Multimodal AI

• Excellent programming skills in Python.
• Hands-on experience with:

–     PyTorch

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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