Senior AI/ML Engineer with Audio Experience

AI/ML Engineer Job Description

 

Responsibilities:

  • Design and implement cutting-edge audio restoration tools, utilizing and expanding upon state-of-the-art techniques (e.g., diffusion models).
  • Develop and deploy machine learning models for tasks such as audio classification, restoration, and sound separation.
  • Work with PyTorch and C++ to integrate models into existing software frameworks.
  • Optimize model performance for both compute resources and latency.
  • Stay abreast of current research in audio and machine learning and implement relevant research papers.
  • Collaborate with cross-functional teams to gather feedback and improve models and user experience.

 

Qualifications:

  • Strong experience in training and fine-tuning diffusion models
  • Comfort with taking on a project involving fine-tuning models similar to those found in https://github.com/multimodal-artprojection/YuE/tree/main
  • Proven ability to design and implement machine learning models for audio processing tasks.
  • Experience with PyTorch and C++
  • Ability to optimize models for both performance and resource constraints
  • Familiarity with current research in audio and machine learning
  • Excellent collaboration and communication skills

 

Preferred:

  • Experience with audio restoration and sound separation tasks
  • Experience with deploying machine learning models in real-time applications
  • Knowledge of audio processing techniques and tools

 

Published 7 April
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