ML Engineer/Researcher

Create hit songs with AI
$120,000 - $230,000
Machine Learning
Entry-Level Software Engineer
In-Person
1 - 10 Employees
AI · Music

Description For ML Engineer/Researcher

Sonauto is an innovative AI company founded in 2023 that's revolutionizing music creation through their platform and proprietary generative music model called Melodia. They're seeking a ML Engineer/Researcher to join their team of 2, working on cutting-edge generative AI for music creation.

The role involves working with state-of-the-art generative models in audio, where quality standards are exceptionally high. You'll be handling distributed training across hundreds of H100s, implementing various architectures including diffusion models, GANs, and language models using PyTorch. The position requires both research expertise and practical implementation skills, combining ML research with product development.

This is an exciting opportunity for someone passionate about both AI and music, as the role bridges cutting-edge machine learning research with practical applications in music generation. The company's platform enables people with no prior music experience to express themselves creatively, making it a unique intersection of technology and artistic expression.

The ideal candidate should have strong PyTorch experience with generative models, JavaScript skills (their frontend uses React/NextJS), and ideally some background in audio processing or music production. The position offers competitive compensation including both salary ($120K-$230K) and equity (0.25%-2.00%), making it an attractive opportunity for those interested in joining a YC-backed startup at an early stage.

Working at Sonauto means being at the forefront of AI music generation, where you'll tackle challenging problems in audio quality and model architecture while directly contributing to a platform that's making music creation more accessible to everyone.

Last updated 21 hours ago

Responsibilities For ML Engineer/Researcher

  • Lead research efforts for improving song and audio quality of generative music models
  • Productizing research results
  • Implementing and improving generative architectures
  • Working with distributed training at scale of hundreds of H100s

Requirements For ML Engineer/Researcher

Python
TypeScript
React
  • Extensive experience with PyTorch training generative models like diffusion models, GANs, and language models
  • Experience with JavaScript and backend development
  • Experience with audio models (huge plus)
  • Being an audiophile and/or having music production experience (huge plus)

Interested in this job?

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