Remote Senior Applied Machine Learning Researcher, Generative Models

Summary

Join Splice as an exceptional Applied Researcher to push the boundaries of artificial intelligence applied to audio data and empower music creators everywhere.

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 for audio and/or symbolic music generation using Transformer-based architectures
• 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, with the ability to work cross-functionally with stakeholders in Engineering, Product and Design

Responsibilities

• Conduct literature research and experimentation in the field of ML-based generative audio using Latent Diffusion and symbolic music generation using Transformer-based architectures
• Collaborate with our ML Engineers to design performant model architectures for efficient ML-based audio synthesis and symbolic music generation, as well as adapting and fine-tuning existing models
• Explore, adapt and implement core building blocks for generative models, such as general Variational Autoencoders (VAEs), Neural Audio Codecs (RVQ / VAE), GANs, Diffusion Models, and Transformer-based architectures
• Develop proof-of-concept prototypes to showcase and validate capabilities and use cases using generative audio/symbolic models. Iterate and refine models based on quantitative/qualitative feedback and evaluation metrics
• Engage with academic and open source communities to stay up to date with the latest developments in the space, collaborate in joint projects, and identify top talent for our AI & Audio Science team’s future hiring needs
• Stay up-to-date with the latest academic and industrial research in generative models for music, incorporating relevant findings into our applied research and product development processes
• Document research findings, methodologies, and best practices. Collaborate with team members to disseminate knowledge and insights

Benefits

Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws