Profile cover
A

AI Genre Classification and Playlist Curator

Audrey Fischer

Full-time · Job · New_York

About the role

The playlists you'll help build get streamed by real listeners looking for exactly the right mood, not just the right genre tag. Our music generation and mastering pipelines already produce and polish tracks at scale, but classifying and organizing that growing catalog into coherent, mood-consistent playlists is still done manually by a small curation team that can't keep pace. This role builds classification models that tag tracks by genre and mood, then feeds curated playlist candidates to the human curation team.

Responsibilities

  • Build genre and mood classification models across the growing music catalog
  • Generate curated playlist candidates for human curator review
  • Evaluate classification accuracy against curator feedback
  • Maintain the pipeline as new genres and mood categories are added

Requirements

  • Some experience with audio or multi-label classification models
  • Comfortable with TensorFlow and Hugging Face pipelines
  • Interest in music or audio content platforms
  • Ability to work closely with a non-technical curation team

Benefits

  • Fully remote entry-level role
  • Mentorship from senior audio ML engineers
  • Health insurance included
  • Free access to the full music catalog

Keep exploring related roles

Use these topic pages to discover more roles in the same hiring cluster.

Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

AI & Machine Learning Engineers NLP & Prompt Engineering

Skills

python tensorflow hugging face statistics

Ready to apply for this role?

Create a free talent account in under 2 minutes.

  • Apply to verified AI companies
  • Get AI-matched job recommendations
  • Message hiring managers directly
  • Build your public AI talent profile

Interested in this role? Create your free profile to apply.

Apply — create free profile