Sr. Applied Machine Learning Researcher - Generative Models (Remote)

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Requirements:

• Ph.D. or Master's degree in Electrical Engineering, Computer Science or related Engineering discipline.
• Background or proven experience in Digital Signal Processing.
• Proven experience (2+ years) in an Applied Research role focused on Latent Diffusion based generative models or symbolic music generation.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with software development best practices and version control systems (e.g., Git).
• Strong communication and collaboration skills.

Responsibilities:

• Conduct literature research and experimentation in ML-based generative audio using Latent Diffusion and symbolic music generation.
• Collaborate with ML Engineers to design model architectures for audio synthesis and music generation.
• Develop proof-of-concept prototypes and iterate based on feedback.
• Engage with academic communities and stay updated with advancements in generative models.
• Document research findings and share insights with team members.