Senior Applied Machine Learning Researcher - Generative Models

October 18

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Splice

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Description

• We are seeking an exceptional Applied Researcher with experience in Generative models for audio using Latent Diffusion, as well as symbolic music generation techniques based on Transformer architectures. • The ideal candidate will bring a research-focused mindset with practical application skills, translating state-of-the-art techniques to novel, usable and performant designs and solutions. • At Splice, we believe that Generative AI has the potential to augment and extend the sonic boundaries of our human-made, world class catalog, and bring powerful unlocks to our users’ creative workflow. • The Splice AI & Audio Science team is dedicated to pushing the boundaries of artificial intelligence applied to audio data, with the mission to empower music creators everywhere. • Being musicians ourselves, we are deeply committed to the use of AI in a creator-centric, ethical and responsible way. • Our team consists of passionate and creative individuals who thrive in a collaborative, innovative, and fast-paced environment.

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. Alternatively, solid experience with diffusion-based models in the image domain, would be considered. • 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.

Benefits

• Splice is an Equal Opportunity Employer • 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.