Spotify seeks to understand the world of music, podcasts, and audiobooks better than anyone else to make great recommendations to every individual person and keep the world listening
Requirements
- Strong background in machine learning, especially experience with Large Language Models
- Professional experience in applied machine learning
- Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, with Python experience required) and cloud platforms (GCP or AWS)
- Hands-on experience implementing or prototyping machine learning systems at scale
- Experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark
- Experience with PyTorch, TensorFlow, and/or other scalable Machine learning frameworks
- Experience with Ray or TFX is a plus
Responsibilities
- Utilize in-house and 3rd party LLMs to solve language understanding problems
- Employ techniques such as fine-tuning and RAG to improve models
- Contribute to designing, building, evaluating, shipping, and refining Spotify’s product by hands-on ML development
- Help drive optimization, testing, and tooling to improve quality of our content enrichment assets
- Collaborate with cross-functional teams of MLEs, data and backend engineers, and other stakeholders including tech research, data science, and product to develop new features and technologies
- Perform data analysis to establish baselines and inform product decisions
- Stay up-to-date on the latest machine learning algorithms and techniques
Other
- You care about agile software processes, data-driven development, reliability, and disciplined experimentation
- You have experience and passion for fostering collaborative teams
- Six month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off, 13 paid flexible holidays, paid sick leave
