Audio Machine Learning Research Engineer: Generative Models

2 days ago


Hyderabad City Taluka, Pakistan beBee Careers Full time

Join our team of innovative researchers and engineers to develop cutting-edge machine learning algorithms for audio and speech generative models. As a research engineer, you will collaborate with experts in the field to push the boundaries of what is possible in AI-powered audio applications.

About the Role
  • We are seeking an experienced researcher with a strong background in audio and speech generative networks, synthesis, restoration, and TTS models.
  • Familiarity with recent ML trends (diffusion models, U-Nets, Transformers, BERT, BART) and traditional statistical techniques is a must.

The ideal candidate will have experience developing generative models in audio and speech, proficiency in designing, implementing, and training DL algorithms using frameworks like PyTorch or TensorFlow, and a willingness to work on cross-disciplinary teams.

Responsibilities
  1. Develop innovative machine learning algorithms for audio and speech generative models.
  2. Combine features from multi-modalities such as video, audio, sensors, and location.
  3. Demonstrate solutions to technical and business audiences and work with commercialization teams to deploy solutions on Qualcomm platforms and customer devices.

Qualifications:

  • Masters degree in Computer Engineering, Computer Science, or Electrical Engineering.
  • At least 2 years of R&D experience in computer vision, image, NLP, or multimodal applications in academia or industry.

Contact Information:

Please email disability-accomodations@qualcomm.com for accommodations.



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