ML Researcher (Mutimodal)

We are seeking a talented and innovative Reasoning Researcher to join our team and contribute to the development of advanced AI systems capable of understanding and reasoning over complex multimodal data. As a Reasoning Researcher, you will be at the forefront of pushing the boundaries of AI, focusing on developing novel techniques for multimodal understanding and reasoning.

Your responsibilities:

· Explore novel techniques for visual question answering, visual reasoning, text-based reasoning, and multimodal knowledge grounding.

· Design and implement new architecture to enable AI systems to understand and reason over complex multimodal data, such as images, videos, text and cultural knowledge.

· Explore the use of knowledge graphs and other neural-symbolic techniques to enhance reasoning capabilities.

· Design and develop efficient neural network architecture.

· Build rigorous benchmarks and datasets to measure the quality of reasoning capabilities and reliability.

Requirements:

· Ph.D. in Computer Science, Deep Learning, Machine Learning, Mathematics or other related fields.

· Strong theoretical foundation in machine learning, deep learning, and artificial intelligence.

· Strong proficiency in Large Language Models (LLMs/VLMs), neural networks, and computer vision architectures, graph neural networks.

· Strong background in Python, Java, or C++, with deep knowledge of ML frameworks such as PyTorch, TensorFlow.

· Excellent problem-solving and analytical skills.

· Successful experience in developing high performance and robust multimodal understanding solution, fast and efficient model architectures is highly valued.

· Pioneering novel methods and neural networks that revolutionized machine learning or the AI field, or revolutionized the industry, is a big bonus.

· A strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI, IJCAI).

· Good teamwork, enjoy working with multi-culture teams, passionate in challenging the status quo.