Microsoft Cambridge Machine Learning Internship Text-to-image 

United Kingdom, England, Cambridge 

984837325

Required/Minimum Qualifications:

· Currently pursuing a PhD in machine learning, deep learning, or a related area. All applicants must be currently enrolled in an educational institution.

· Demonstrable strong technical understanding of state-of-the-art image-text models (e.g. GPT-4Vision, CLIP, Flamingo, BLIP, PaLI, Llava) and expertise in at least one of the following areas: model adaption methods (e.g. parameter-efficient fine-tuning, in-context learning, few-shot learning/meta-learning), generative approaches like diffusion, AI fairness, AI interpretability/transparency. This should be evidenced through publications, demos, course projects in these areas.

· 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/Additional Qualifications:

· 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 with working in a multi-disciplinary team with diverse skill sets.

. Authored/contributed to open-source code projects (e.g. on GitHub).

· Undertake cutting-edge research in studying the performance of text-image 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.