Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for EdgeAI mobile phones, headsets, and variety of IoT devices. 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 Audio and speech generative models
- 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
- File corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various audio and speech applications
Minimum Qualifications
- R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, 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
- 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 data
- Working in cross disciplinary, geographically-dispersed teams
Education Requirements: Master's degree or Phd in Electronics/Computer/Electrical Engineering
2+ years of R&D experience in audio/speech model development in academic/industry
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.
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