Audio Machine Learning Engineer

3 weeks ago


England, United Kingdom Coders Connect Full time

Coders Connect has partnered with an innovative start-up who are embarking on an incredible journey with an AI-powered song-generation platform.


A small, dynamic team in London is revolutionizing the music industry by creating fresh and captivating songs across various genres. As a Machine Learning Engineer, you'll dive into the heart of this groundbreaking project, working on the designing and implementing of Data Pipelines, research, finetuning and developing state-of-the-art generative AI models. Embrace the endless possibilities as the platform extends to the Web (WASM), Android, iOS, and even virtual reality

If your passion for music harmonizes perfectly with your Machine Learning skills, this opportunity is tailor-made for you Don't miss out on this thrilling adventure. Apply and shape the future of AI music production


About this role:


The ideal candidate would be responsible for:

  • Designing and Implementation of data pipelines: craft and enhance AI-powered data collection and processing pipelines
  • Advanced AI Models for Music and Singing Generation: research, finetune and develop state-of-the-art generative AI models
  • Evaluate and quantify the results: provide quantitative and qualitative analysis of the collected data and evaluate AI models
  • Explore and collaborate: read academic papers, explore open-source solutions, actively share and collaborate with a team of AI and DSP engineers


What is our team currently working on?

  • Developing AI singer: singing voice synthesis and singing voice conversion
  • Improving music AI models: exploring text and melody conditioning for music generation
  • Building with instruction-tuned LLMs: for user's interactions with AI producer and lyrics generation
  • Implementing the full music production pipeline: music generation, mixing and mastering


Requirements

  • Experience with audio data and DSP: experience in handling audio data and expertise in digital signal processing
  • Data pipeline development skills: background in building data collection and processing pipelines
  • Python and ML Framework Proficiency: 1+ years of hands-on experience with Python and modern ML frameworks


Desirables:

  • Experience with generative AI models: Diffusion models, GANs, VAEs, Transformers
  • Musical background: Understanding of basic concepts in music theory and experience in either composing music or music production



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