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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