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Machine Learning Engineer – Music
| Company | Spotify |
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| Location | New York, NY, USA |
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| Salary | $138250 – $197500 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level, Senior |
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Requirements
- Experience implementing ML systems at scale in Java, Scala, Python or similar languages
- Experience with ML frameworks such as TensorFlow, PyTorch, etc.
- Understanding of how to bring machine learning models from research to production
- Experience in optimizing machine learning models for production use cases
- Familiarity with crafting model success metric dashboards and diagnosing production issues
Responsibilities
- Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify’s promotional performance with hands-on ML development
- Collaborate with a multidisciplinary team to optimize machine learning models for production use cases
- Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures
- Work with Data and ML Engineers to support transitioning machine learning models from research and development into production
- Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability
Preferred Qualifications
- Experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP
- Exposure to causal ML models, including things like counterfactuals
