Senior Software Engineer - Content Pipeline

About the Role:

We believe that a cutting-edge “A+ solution” to organizing/structuring searchable data (e.g. data curation) is essential. It's difficult to get there via human curation because there's too much data. It's also difficult to get there with a purely machine-curated solution (we've learned that lesson first hand). Our solution at SoundHound has been to hybridize the two approaches. In this role, you'll be part of a small and innovative team designing automated algorithms smart enough to approximate a human curator, while also working closely with human curators on the team to achieve the best possible searchable data quality for our apps. We are a meeting-light culture where personal autonomy is valued and trust is given to each team member to manage themselves. 

About You:

  • You are fascinated by the challenge of implementing machine-based solutions to organize/label data the way human curators would – on a scale that would require millions of human curators
  • You are a quick learner with sharp coding skills 
  • You enjoy being part of a small team responsible for systems that directly power the search experience of millions of users every day
  • You pay attention to detail and take pride in implement highly maintainable code
  • You have a passion for the intersection of music and technology 


  • Design and implement systems that manage a unique blend of searchable data (including audio, meta-data, and traditional text-based content)
  • Lots of coding, testing, and scripting in a Linux environment
  • Regularly analyze the data curated by the system and identify areas for improvement


  • 5+ years using C++ in a context where efficiency matters 
  • Strong grasp of algorithms and data structures
  • Experience manipulating and managing large amounts of data
  • Self-motivated and able to contribute in a team environment
  • BS/MS in Computer Science or equivalent

Nice to haves:

  • Experience working with large catalogs of real-world / messy data
  • Familiarity with text search algorithms and related systems
  • Experience working with music-related data
  • Proficiency with databases/SQL
  • Experience with Git 

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