Job Area: Engineering Group, Engineering Group > Systems Engineering
The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, video, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for mobile phones, headsets, and variety of IoT devices as well as cloud outlets. The team includes and works with algorithm, hardware and software engineers across company to develop, port newly designed solutions to real live prototypes shown at tradeshows and other customer events, and support commercialization activities in upcoming products.
Responsibilities: • Develop innovative machine learning algorithms for multimodal understanding, i.e., image, video, audio; text-to-audio, multimodal-to-text, and natural language processing use cases; file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various CV/audio/NLP applications • Combine features from multi-modalities such as video, audio, sensors, and location • After successful demos to technical and business audiences, work with commercialization teams to transfer and deploy newly developed solutions onto Qualcomm platforms and customer devices
Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.
Minimum Qualifications • R&D experience of computer vision, text-to-audio, video understanding, image/audio captioning or NLP applications in academic/industrial setting • Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques
Preferred Qualifications • R&D experience developing generative models in CV, multimodal or NLP application area • Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow) • Willingness to engage in hands-on R&D in multimodal modeling of video/audio/text data • Coding experience in C/C++ • Working in cross disciplinary, geographically-dispersed teams
2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry
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