Senior Deep Learning Developer (Generative AI - Music Generation)

Position: Senior Deep Learning Developer (Generative AI - Music Generation)Job Description:

We are seeking a highly skilled and experienced Senior Deep Learning Developer to join our team for hands on- position, focusing on the cutting-edge field of Generative AI, specifically in music generation. The ideal candidate will have a strong background in deep learning, with a particular emphasis on transformer and diffusion technologies. This role involves developing innovative AI models capable of generating music, contributing to the advancement of our AI-driven audio solutions.

Advanced Degree (A Master’s or Ph.D.) in Data Science, Computer Science, Physics or Engineering:

Proven Experience in Deep Learning:

Extensive experience in designing, training, implementing, and optimizing deep learning models, particularly in the context of generative models.

Familiarity with transformer models, diffusion models, and their applications in generative tasks.

Expertise in Music Generation:

Demonstrated experience or a strong interest in the field of music generation using AI.

Understanding of music theory and digital signal processing as it applies to audio and music generation.

Proficiency in Programming and Machine Learning Frameworks:

Strong programming skills in Python and proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Experience with audio processing libraries (e.g., Librosa) is a plus.

Experience in plugin development (i.e using C or C++) is a major plus

Strong Analytical and Problem-Solving Skills:

Ability to develop innovative solutions to complex technical challenges.

Ability to read and comprehend SotA papers and research  and implement them into practical applications.

Excellent collaboration skills, with experience working in interdisciplinary teams.

Strong communication skills, capable of conveying complex technical concepts to non-technical stakeholders.

Experience with Large-Scale Systems:

Familiarity with deploying large-scale machine learning systems in a production environment.

Understanding of scalability and efficiency challenges in generative models.

Passion for Continuous Learning:

A strong desire to stay informed of the latest advancements in AI and deep learning.

Willingness to experiment with new techniques and approaches in AI-driven music generation.

A stroing inclination for hands on approach

Develop and optimize state-of-the-art generative models for music generation.

Collaborate with cross-functional teams to integrate AI models into products and services.

Conduct research to advance the field of AI in music generation.

Mentor junior team members and contribute to the team’s knowledge base.

Ensure the scalability and efficiency of AI solutions.

Communicate progress and findings to stakeholders and the broader team.

An opportunity to work at the forefront of AI technology in music generation.

A collaborative and innovative work environment.

Competitive salary and benefits.

Opportunities for professional growth and development.