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Position: Machine Learning Research Scientist (m/f/d)
Institution: Qualcomm Technologies, Inc.
Location: München, Germany
Duties: Contribute to the conception and implementation of new algorithms for improved video compression; Initiate ideas, design and implement algorithms for computationally lightweight model architectures; Represent Qualcomm in standardization forums: JVET, MPEG Video and ITU-T/VCEG; Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc
Requirements: PhD or Master’s degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience; Prior expertise in one or more aspects of generative models of video data (e.g., optical flow, implicit neural representations, video or single-image super-resolution, diffusion models, density estimation, transformers, etc.); Track record of impactful work at major conferences in machine learning or computer vision (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, etc.)
   
Text: Machine Learning Research Scientist (m/f/d) Contribute to the conception and implementation of new algorithms for improved video compression; Initiate ideas, design and implement algorithms for computationally lightweight model architectures; Represent Qualcomm in standardization forums: JVET, MPEG Video and ITU-T/VCEG; Document and present new algorithms and implementations in various forms, including standards contributions, patent applications, conference and journal publications, presentations, etc PhD or Master’s degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience; Prior expertise in one or more aspects of generative models of video data (e.g., optical flow, implicit neural representations, video or single-image super-resolution, diffusion models, density estimation, transformers, etc.); Track record of impactful work at major conferences in machine learning or computer vision (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, etc.)
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