המקום בו המומחים והחברות הטובות ביותר נפגשים
Job Area:
Engineering Group, Engineering Group > Systems Engineering
Responsibilities:
• Develop innovative machine learning algorithms for Audio and speech generative models, file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various /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:
• R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, text to speech kind of models
• 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 audio and speech
• 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 modeling of audio/speech/text data
• Working in cross disciplinary, geographically dispersed teams
Education Requirements
Preferred: Masters/Doctorate, Computer Engineering / Computer Science / Electrical Engineering.
2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
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.
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