Machine Learning Researcher (Multimodal)

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.