Microsoft Cambridge Residency Programme TaiX ML 

United Kingdom, England, Cambridge 

480069108

Required Qualifications:

• PhD in Machine Learning, Deep Learning, or a related area.
• Strong technical understanding of state-of-the-art generative AI models, with a particular focus of multi-modal models.
• Demonstrable ability to drive high-quality research insights through publications in top-tier machine learning conferences and journals (e.g. NeurIPS, ICML, ICLR, AAAI, ICCV, ECCV, CVPR, JMLR).
• Hands-on experience in implementing and empirically evaluating deep learning approaches in PyTorch.
• Effective communication skills and ability to work in a collaborative environment.

Preferred Qualifications:

• Demonstrable research expertise in any of the following fields: AI fairness, AI interpretability and/or transparency, model adaption (e.g. PEFTs), data-centric AI, evaluation methods.
• The ability to approach technical problems and design solutions with a multi-disciplinary perspective.
• Passion for ensuring the inclusion of marginalised communities in AI technologies.
• Previous experience working in a multi-disciplinary team with diverse skill sets.
• Contribution to open-source code projects (e.g. on GitHub).

• Undertake cutting-edge research in deepening our understanding of generative AI models, including the development of technical approaches to ensure they perform equally well in all scenarios.
• Write research code to develop and validate new approaches, or develop novel theoretical and practical insights.
• Collaborate with a diverse and multi-disciplinary team.
• Clearly communicate research ideas and results in writing, such as research papers, presentations, or research notes for internal and external audiences.