Machine Learning Research Scientist
Vor 2 Tagen
**Company**: Qualcomm Germany GmbH **Job Area**: Engineering Group, Engineering Group > Machine Learning Engineering **General Summary**: **Minimum Qualifications**: - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field. **Responsibilities**: - 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. - 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.). - Highly proficient Python programming skills, and familiarity with PyTorch. - Strong written and verbal English communication skills, great work ethic, and ability to work in a high-performing environment. - PhD or Master’s degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience. - Some knowledge of video compression algorithms, such as ECM, VVC, HEVC, H.264, and AV1. **Minimum Qualifications**: - PhD or Masters degree in Machine Learning, Computer Vision, Physics, Mathematics, Electrical engineering or similar field, or equivalent practical experience. - 3+ years of experience in machine learning and AI, either in an academic or industry research lab. - Track record of impactful work at major conferences in machine learning or computer vision (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, etc.). **Preferred Qualifications**: - Hands-on experience with foundation vision models. - 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.) - Familiarity with techniques in neural network quantization, pruning and/or model distillation. - Experience in training distributed networks (e.g. pipeline parallelism). *** **What's an offer**: - Salary, stock and performance related bonus - Employer-financed pension schemes - Employee Stock Purchase Program - Job Bike, Job Ticket - Fitness Studio discount - and many more This is a full-time position based in our office in Munich, Germany. Qualcomm is an equal opportunity employer and supports workforce diversity. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. If you would like more information about this role, please contact Qualcomm Careers.
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