מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
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 Required: Master's degree in Computer Engineering / Computer Science / Electrical Engineering
Preferred: Doctorate, Computer Engineering / Computer Science / Electrical Engineering
2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry
Keywords: machine learning, generative models, computer vision, video understanding, image captioning, audio captioning, multimodal understanding, text-to-audio, audio-to-text, natural language processing, multimodal learning, visual language models, audio analytics
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
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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