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• Conduct research in one or more of the following areas: Agentic ML, LLMs, VLMs, and Generative Image & Video. Depending on the applicant's background, this can be either: Implementation and evaluation of a novel approach to model optimization and deployment or identification and application of a known ML approach to a novel product-related scenario. Design and implement experiments to test new hypotheses and validate research findings. Develop and optimise algorithms and models for various AI applications. Collaborate with team members to integrate research outcomes into practical solutions. Present research findings to the team and contribute to publications and patents. Currently pursuing a PhD in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field Must have at least one additional quarter/semester/term of school remaining following the completion of the internship At least one published paper in CVPR, ICML, ICLR, NeurIPS, WACV, AAAI Fluency in English Strong communication and presentation skills. A presentation of the applicant's research will be part of the interview process.