Senior Machine Learning Engineer
Workplace: Stockholm, Sweden
Expires: October 29, 2025
Join Soundtrack Technologies Sweden AB as a Senior Machine Learning Engineer within the Music Experience team, working on end-to-end machine learning solutions that power music features for various business clients. Collaborate in a dynamic, product-led environment focused on research-driven development and delivering core music experiences.
Main requirements:
  • 5+ years experience in developing, deploying, and managing machine learning models and systems in a product development setting.
  • Proficient in machine learning frameworks such as TensorFlow or Torch.
  • Experience with cloud-based training and deployment of ML models, preferably Google Cloud Platform.
  • Hands-on experience with data engineering tools for building and maintaining high-scale pipelines using technologies like Apache Spark or Google Dataflow.
  • Experience with orchestration tools such as Apache Airflow, Luigi, Argo, or Kubeflow.
  • Proficient in SQL for data querying and manipulation.
  • Comfortable developing APIs and services, preferably with Python.
  • Strong communication and collaboration skills within a product development organization.
Responsibilities:
  • Develop, deploy, and maintain machine learning models and connected systems.
  • Continuously improve tooling and workflows related to machine learning efforts.
  • Contribute to the team's vision, strategy, and agenda.
  • Support team growth by sharing knowledge and fostering collaboration.
Required hard skills:
  • Machine learning model development and deployment
  • TensorFlow or Torch frameworks
  • Cloud ML deployment (preferably Google Cloud Platform)
  • Data engineering with map-reduce frameworks (Apache Spark, Google Dataflow)
  • Workflow orchestration tools (Apache Airflow, Luigi, Argo, Kubeflow)
  • SQL
  • API and services development using Python
Recommended hard skills:
  • Interest in music and music technology
  • MLOps experience
  • Machine learning experience in audio domain
  • Personalization and recommendation system experience
  • GraphQL client and server libraries
  • Container-based deployments using Docker/Kubernetes
  • Continuous integration and continuous deployment (CI/CD) workflows
Soft skills:
  • Self-sustaining and independent worker
  • Curious and eager to learn
  • Good communication skills
  • Agile and adaptable
  • Humble and open
  • Street smart and resourceful
  • Disciplined and methodical
Coding languages:
  • Python
  • SQL
Frameworks:
  • TensorFlow
  • Torch
  • Apache Spark
  • Google Dataflow
  • Apache Airflow
  • Luigi
  • Argo
  • Kubeflow
Natural languages:
  • English (Proficient)
Cultural skills:
  • Product-led growth mindset
  • Collaborative team environment
  • Open to diversity and inclusion
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