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Machine Learning Engineer – Content Understanding
| Company | Spotify |
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| Location | New York, NY, USA |
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| Salary | $112664 – $195540 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level |
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Requirements
- Professional experience in applied machine learning
- Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS)
- Some hands-on experience implementing or prototyping machine learning systems at scale
- Experience architecting data pipelines and self-sufficient in getting the data needed to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
- Care about agile software processes, data-driven development, reliability, and disciplined experimentation
- Experience and passion for fostering collaborative teams
Responsibilities
- Build production systems that enrich and improve our listeners’ experience on the platform
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users
- Help drive optimization, testing, and tooling to improve quality
- Perform data analysis to establish baselines and inform product decisions
- Collaborate with a cross functional agile team spanning design, data science, product management, and engineering to build new technologies and features
Preferred Qualifications
- Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus
- Experience with building data pipelines and getting the data needed to build and evaluate models, using tools like Apache Beam / Spark is a plus
