Machine Learning Engineer

4 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

The Nanyang Technological University (NTU) National Centre for Research in Digital Trust (DTC) is driving innovation in the field of trust technology research, aiming to establish Singapore as a leading trust hub. Our research focuses on supporting the creation of a trusted digital environment for people and businesses undergoing digital transformation, providing them with greater assurance and confidence.

We are currently looking for a talented Research Fellow to join our Digital Trust Centre, where you will be involved in multi-modal model testing. Your primary responsibilities will include conducting advanced research in Generative AI, investigating and implementing methodologies to ensure AI authenticity, accountability, and the integrity of digital content.

Key Responsibilities:

  • Investigate and implement methods to guarantee AI authenticity, accountability, and the integrity of digital content.
  • Develop and refine machine learning and deep learning algorithms to improve model robustness and reliability.
  • Establish and conduct thorough AI testing frameworks to identify and mitigate risks in AI systems.
  • Collaborate with interdepartmental teams to align AI research with industry best practices and ethical standards in AI safety.
  • Publish research findings in top academic conferences and journals, contributing to the broader AI and machine learning research community.

Requirements:

  • PhD degree in computer science/engineering or related field.
  • Proficient in Python programming; experience with other languages such as Java, C/C++, or Go, and frameworks like PyTorch or TensorFlow, is highly beneficial.
  • Background in Generative AI research, including multi-modal LLMs, and familiarity with AI Safety research.
  • Strong understanding of machine learning and deep learning techniques, including machine unlearning, and AI testing.
  • Ability to convey complex technical concepts effectively to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills, with a focus on developing innovative solutions for multi-modal LLMs.
  • Comprehension of ethical considerations and best practices in AI research, specifically regarding data privacy and security.

About NTU:

The Nanyang Technological University (NTU) is committed to fostering a culture of innovation and excellence. We offer a dynamic work environment that encourages collaboration, creativity, and growth. Join our team of exceptional researchers and scientists as we push the boundaries of trust technology research and shape the future of digital trust.



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