Machine Learning Engineer

Aiode is bridging the gap between the creative freedom of working with live musicians and the convenience of digital music production, by modeling virtual musicians. Aiode's approach leverages advanced proprietary AI, revolutionizing audio synthesis.

Aiode’s founding team comes from a diverse background in technology, music and legal , supported by an amazing group of investors, innovators and brilliant personnel.

We are working on state-of-the-art AI architectures, side by side with leading researches in the field/

Responsibilities

Become part of the core technological team working on improving Aiode’s model and infrastructure. You will work on

the latest and most cutting edge generative ai technologies alongside musicians and music creators, to improve and enhance our product’s capabilities.

Qualifications

• 5 years of experience in ML development.
• Hands on experience with PyTorch / Tensorflow.
• At least 2 years hands on experience working with Diffusion Models / Transformer Models / LLMs.
• Experience with generative autonomous AI architectures
• Documented history in formulating, crafting, and implementing scalable solutions.
• Acute analytical faculties and adept problem-solving capabilities.
• Solid understanding of generative models such as GANs and VAEs and experience in optimizing and fine-tuning these models.
• Strong background in computer science, natural language processing, and machine learning.
• Great personality.
• Love for music.

Bonus:

- Previous experience working in startups / startup environment.

- Musical background.

- Experience with Signal Processing.