AI Scientist, Video Intelligence

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Company Overview

This leading telecommunications company in Asia is committed to empowering every generation with technological advancements. With a wide array of innovative services and solutions, they connect people, businesses, and communities, driving digital transformation across the region. Their focus on cutting-edge technologies and customer-centricity makes them a key player in the evolving digital landscape.

Job Title: AI Scientist, Video Intelligence

Job Description

A prominent technology company is seeking a highly motivated and skilled AI Scientist specializing in Video Intelligence to join their innovative research team. The successful candidate will conduct cutting-edge research and development in deep learning models for challenging video analytics applications. This role offers the opportunity to collaborate with talented data scientists and engineers, contribute to the company’s technological advancements, and see research translate into real-world production systems.

Responsibilities:

• Conduct in-depth research and develop novel deep learning models to address challenging video analytics problems, such as camouflage person detection, fine-grained object recognition, and dense crowd counting.
• Explore, customize, and enhance state-of-the-art Generative AI models (e.g., Large Language Models (LLMs), Vision Language Models (VLMs) for innovative video analytics applications, such as video captioning and activity recognition.
• Explore, customize, and develop agentic solutions for video analytics specifically, and security applications in general.

Stakeholder Collaboration:

• Collaborate and work closely with their Data and Engineering teams to efficiently develop, seamlessly integrate, and reliably deploy AI models into production systems.
• Assist the Sales team in demonstrating developed technologies and preparing technical specifications for tenders.

Innovation Advancement:

• Propose directions and anticipate in discussions to shape the future of the company’s core technologies.
• Engage in external collaborations in deeper research with universities and research institutes.

Key Challenges:

• Deeply understand pros and cons of state-of-the-art machine learning, deep learning, and generative AI models and algorithms.
• Achieve required accuracy and performance within hardware limitations.
• Develop algorithms for large-scale model serving.
• Continuously identify and study latest trends of AI algorithms and technologies as well as video analytics.

The ideal candidate should possess:

• At least one-year of experience in computer vision projects or video analytics-related industry.
• Robust knowledge in machine learning, neural network, deep learning, and generative AI technologies to be able to study, utilize and customize them.
• Experience and possess fundamental understandings about deep learning and transformer architectures.
• Good foundation knowledge of learning algorithms such as Supervised finetuning (SFT), Reinforcement Learning from Human Feedback (RLHF), etc.
• Knowledge about model quantization and performance optimization.
• Experience with at least one deep learning framework such as PyTorch or TensorFlow.
• Familiarity with at least one programming language such as Python, C/C++, etc.
• Self-motivated with strong passions in video analytics or deep learning and generative AI in general.
• Good interpersonal skills with ability to work both independently and as part of a team.
• Milestone awareness.
• Master or Ph.D. degree in computer science or related technical field; or an equivalent combination of education and experience will be appreciated.

Disclaimer

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