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Suno

Text-to-song AI music generation platform

Machine Learning Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience training state-of-the-art models with distributed PyTorch.
  • Intimate familiarity with the entire stack of data engineering, including designing, training, and evaluating machine learning models.
  • A track record demonstrating independent ownership of entire research projects from start to finish.
  • Extensive experience training large generative models from scratch, such as large language models or diffusion models.
  • A bachelor's degree or equivalent is required.

Responsibilities

  • Work closely with the founding team.
  • Own a wide variety of technical decisions about how the company builds and deploys its machine learning models.

Desired Qualifications

  • A love of music, including listening, exploring, or making music, is a plus.

About the Company

Suno

Text-to-song AI music generation platform

Suno creates AI-generated music from text prompts. It lets users describe a mood, genre, or idea and automatically produces fully produced songs with vocals, instrumentation, and arrangements, without requiring any musical training. The product works by turning user prompts into complete songs using generative AI models, offering a library of styles from pop and rock to ambient and cinematic. What sets Suno apart is its combination of engineering and songwriting culture, a fast-growing platform that supports many musical styles and a broad global user base, and its emphasis on making music creation accessible to non-musicians while delivering a complete song output rather than isolated elements. The company aims to reshape how songs are conceived, produced, and shared and to help more people create music by lowering technical barriers and enabling rapid, iterative experimentation.

Company size
501-1,000
Company stage
Series D
Total funding
$775M
Headquarters
Cambridge, MA
Founded
2022

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