DiscoverStartupsSoundCloudJobs at SoundCloud: Explore current Opportunities
SoundCloud company logo
Hear the world’s sounds from a vast variety of artists of all different backgrounds501-1000 Employees
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • Valuation $500M+
    This company has a valuation of $500M or more

Jobs at SoundCloud

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Engineering

Senior Web Engineer - Fan Monetization

NewPosted 1 month ago

Senior Web Engineer - Fan Monetization

  • Design, build, and maintain user-facing web features on SoundCloud's desktop and mobile web surfaces that drive fan engagement and creator support
  • Embrace and utilize advanced AI tools to safely, securely, and responsibly accelerate your coding workflows, code reviews, and testing frameworks
Engineering

Android Engineer - Fan Monetization

NewPosted 1 month ago

Android Engineer - Fan Monetization

  • Develop and scale SoundCloud's fan-facing features across Android, focusing heavily on building clean, responsive UI and features using Kotlin and Jetpack Compose
  • Embrace and utilize advanced AI tools to safely, securely, and responsibly accelerate your coding workflows, code reviews, and testing
Engineering

iOS Engineer - Fan Monetization

NewPosted 1 month ago

iOS Engineer - Fan Monetization

  • Develop and scale SoundCloud's fan-facing features across iOS, focusing heavily on building clean, responsive UI and features using Swift and SwiftUI
  • Embrace and utilize advanced AI tools to safely, securely, and responsibly accelerate your coding workflows, code reviews, and testing
Engineering

Senior Principal Engineer, Machine Learning

NewPosted 4 months ago

Senior Principal Engineer, Machine Learning

  • Lead the technical strategy and execution for SoundCloud’s ML systems (e.g., recommendation, ranking, personalization), including model development, deployment, and scaling
  • Lead the exploration of advanced modeling techniques including Deep Neural Networks, LLMs, large recommender systems, multi-modal embeddings and transformer-based architectures to create unique and impactful listening experiences