
Machine Learning Audio Research Engineer
6 days ago
This role is a key member of the Advanced Tech R&D team, responsible for developing innovative machine learning algorithms for audio and speech generative models.
- Key Responsibilities:
- - Develop cutting-edge machine learning techniques for advanced audio and speech applications.
- - Collaborate with cross-functional teams to integrate new solutions into various Qualcomm platforms.
- - Work closely with commercialization teams to deploy developed solutions onto customer devices.
Requirements:
To be successful in this position, you will need:
- R&D Experience:
- - 2+ years of experience in research and development of audio and speech generative networks, synthesis, restoration, and text-to-speech models.
- Technical Skills:
- - Proficiency in designing, implementing, and training deep learning algorithms using high-level languages/frameworks such as PyTorch or TensorFlow.
- - Familiarity with recent trends in machine learning, including diffusion models, U-Nets, Transformers, BERT, and traditional statistical modeling/feature extraction techniques.
Educational Background:
- Master's or Doctoral Degree:
- - Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field with 1+ year of experience.
- - Doctoral degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
Benefits:
This role offers competitive compensation and benefits packages, including opportunities for professional growth and development within a leading technology company.
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