Develop and implement production systems that enrich and improve our listeners’ experience on the platform
Contribute to designing, building, evaluating, shipping, and refining Spotify’s product through hands-on ML development
Help drive optimization, testing, and tooling to improve the quality of our recommendations
Perform data analysis to establish baselines and inform product decisions
Collaborate with a cross-functional agile team spanning tech research, data science, product management, and engineering to build new technologies and features
Stay up-to-date on the latest machine learning algorithms and techniques
Requirements & Skills:
You have 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)
You have some hands-on experience implementing or prototyping machine learning systems at scale
You have 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
You care about agile software processes, data-driven development, reliability, and disciplined experimentation
You have experience and passion for fostering collaborative teams
Experience with TensorFlow, pyTorch, and/or other scalable Machine learning frameworks
Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam / Spark
