Our client are a Chinese global semiconductor company.
Responsibilities:
Lead the research, design and development of highly trustworthy, robust and reliable, high performance, efficient detection solutions, generative service and Safe Agentic AI systems.
Contribute to the development of Online Safety Research Roadmap to advance AI-based detection solution and ensure the safety of AI systems of classification, generative AI and agentic AI systems.
Provide technology insights and research proposal for advancing the state-of-the-art research and development.
Design and evaluate solution architecture and design, assess the competitiveness of the technology.
Conduct hands-on research and experiments in collaboration with team members.
Key Requirements:
PhD in Computer Science, Deep Learning, Machine Learning, Mathematics or other related fields.
8+ years of experience, focused on the research in AI and/or Security field with a strong track record and high motivation to the Trust & Safety domain.
Proven experience in designing and building efficient, high-performance LLMs/VLMs and agentic AI / reasoning systems, including model architecture, optimization and large-scale deployment.
Successful experience in advanced AI in aligning AI with human values and expectations such as RLHF, adversarial training, neural network editing, formal logic & game theory, capabilities to detect and understand risks, intent modeling and reasoning, robustness, capabilities of understanding local cultures and explainable AI.
Experience in security threat or abuse detection, deep fake detection, fairness, transparency, robust and explainable AI is a plus.
Experience implementing solution that comply with EU online safety regulations and privacy protection laws (e.g., Digital Service Act, GDPR, AI Act) is a plus.
Desirable Skills:
Pioneering novel methods and neural networks that revolutionized machine learning or the AI field, or revolutionized the industry, is a big bonus.
International awards in the field of AI/ML/CV and highly recognized by experts of the same field.
Strong knowledge and experience in LLM/VLM pre-training models, neural network architecture and algorithm design.
Strong publication record in top conferences e.g., AAAI/ACL/CVPR/ICCV/EMNLP/NAACL