The Teachable AI Experiences (TAIX) team at Microsoft Research Cambridge (UK) is a multi-disciplinary team that aims to drive technical innovation in human-AI interaction through the lens of inclusion. The team is looking to hire an intern with machine learning expertise in multi-modal models, with a particular focus on image-text models, and model adaptation approaches for low-resource domains. The intern will work with several other interns with other disciplinary expertise to contribute to a team project on a platform that brings the voice of marginalized communities into the evaluation and adaptation of large multi-modal models. Candidates should have a passion for equitable AI and should have deep technical knowledge in 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: AI fairness, model adaption methods (e.g. in-context learning, PEFTs), AI interpretability/transparency. They should be able to approach technical problems in a multi-disciplinary way and be passionate about building AI technologies that will ensure the inclusion of marginalised communities. The outcomes of the project may lead to a publication in a relevant conference, integration into a Microsoft product/ application and/or societal impact. The internship offers a unique opportunity to have real-world impact and drive state-of-the-art research at the intersection of machine learning and disability communities in collaboration with a multi-disciplinary team. Internship will ideally run from April – June as part of a cohort of interns.