MicroTECH Global Ltd
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.
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Strong publication record in top conferences e.g., AAAI/ACL/CVPR/ICCV/EMNLP/NAACL
To apply for this job please visit www.reed.co.uk.
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