Senior Machine Learning Engineer – Voice Personalization


Job Overview

What You’ll Do

  • Be part of an active group of machine learning practitioners (across Spotify) collaborating with one another
  • Collaborate with a multi-functional, agile team, spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways
  • Contribute to designing, building, evaluating, shipping, and refining Spotify’s Voice products by hands-on ML development
  • Drive optimization, testing, and tooling to improve quality
  • Identify opportunities for platformization and communicate requirements to platform teams
  • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
  • Who You Are

  • You have a strong background in machine learning, with experience and expertise in NLP and NLU algorithms and systems such as NLU parsing models and language translation
  • You understand a variety of machine learning algorithms including classification and sequence labeling models and content recommendation systems, and are familiar with reinforcement learning approaches such as online bandit models
  • You have contributed code and models to large-scale, production NLU systems
  • You have hands-on experience implementing scalable production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, Kubeflow, PyTorch, Scikit-learn, XGBoost, etc. is a strong plus
  • You are comfortable exploring data to deeply understand the problems and products you are working on and to develop good hypotheses for product improvements
  • You care about shipping product, agile software processes, reliability, data-driven development, and disciplined but fast experimentation
  • You keep up with state of the art research by reading papers, attending conferences, and participating in research communities
  • You preferably have experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it, Scio, and cloud platforms like GCP or AWS
  • Spotify is an equal opportunity employer.

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