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.
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, enabling you to meet aggressive deadlines
- 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
Responsibilities:
- 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
Requirements:
- Proficient in C and one or more scripting languages
- Strong grasp of algorithms and data structures
- Experience manipulating and managing large amounts of data
- Self-motivated and able to contribute in a fast-paced 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