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Senior AI Researcher

TEEMA · Toronto, Ontario, Canada

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About the jobIn this critical role, you will be part of our AI team that is supported by our MLOps team. You will work with bright and insightful minds, passionate professionals, and a welcoming community where your creative ideas are exceedingly valued.NOTE: This is a hybrid role; you are expected to be in the office a minimum of twice per week, at our downtown location.What You’ll DoConduct original, publishable research by advancing thestate-of-the-artcomputer vision (CV) andGenerative AI(GenAI)models and algorithmsArchitect and develop CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inferenceMentor AI interns and collaborate closely withdevelopment teams to ensure successfultransferofresearchintorobust, production-ready solutionsStrategically design, develop, and meticulously train advanced CV and GenAI models and algorithms, pushing the boundaries ofwhat'spossibleCraft elegant, efficient, and maintainable code to build high-quality, scalable AI systemsProactivelyidentify, evaluate, and integrate emerging AI technologies into the company's core technological capabilities, fostering a culture of continuous innovationCommunicatecomplex research findings to diverse internal and external stakeholders and fostering collaborationRepresent the company at leading AI conferences, publish research findings in top-tier journals andpatent novel AI advancements What You’ll NeedMaster or Doctorate degree in computer science ora closelyrelated fieldA comprehensive, end-to-end understanding of generative media applications and a passion for pushing the frontiers ofCV and GenAI.5 - 7 years of work experience inAI research, demonstrating deep expertisein training, fine-tuning, and experimenting with CV and GenAI beyond mere black-boxutilization.Exceptionalproficiencyin Python, coupled with mastery of one or more leading deep learning frameworks (e.g.,PyTorch, TensorFlow).Solid knowledge of programming languages and experiencein the full lifecycle of ML systems, including development, debugging, and performance optimizationTrack recordof first-author publications atpremierAI conferencessuch as SIGGRAPH, ICML, ICLR,NeurIPS, CVPR, ICCV, or ECCVAbility to convey rigorous mathematical and scientific concepts to non-experts