Join our global force of 500+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us— and let the world feel your work.

As a Senior MLOps Engineer, you will play a crucial role in our innovation team, driving our MLOps initiatives. Your role will be to streamline the development and deployment of machine learning applications, ensuring a seamless transition from concept to production. By building and maintaining robust infrastructure and tools, you’ll empower our teams to develop cutting-edge ML solutions that impact millions of users worldwide.

• You will enhance the reliability and scalability of ML workflows, optimize infrastructure, and promote best practices in MLOps to ensure our products reach their full potential.

• Your contributions will directly influence the speed and quality of ML application deployment, setting the foundation for future innovations.

• You will join a cross-functional team of innovators, collaborating closely with Machine Learning Engineers, Full Stack Engineers, and Product Managers and Designers.

• You will work with product teams, data engineers, and DevOps professionals to ensure the seamless integration of ML workflows into our product ecosystem.

Your key responsibilities include:

Requirements

• Setting up and maintaining infrastructure for training and serving ML models.

• Streamlining ML application development with CI/CD pipelines for batch and streaming predictions.

• Managing data dependencies and ensuring robust data pipelines from the warehouse to ML platforms.

• Championing MLOps best practices internally, mentor the team about it and staying up to date with emerging technologies.

Soft requirements

• Proven experience with MLOps and SRE practices, and technologies.

• Proficiency in GCP (or similar cloud providers) and tools like BigQuery, Dataflow, and Google Cloud Storage.

• Expertise in pipeline orchestration tools (e.g., Vertex AI Pipelines, Kubeflow Pipelines).

• Strong programming skills in Python/Go and familiarity with ML training frameworks like TensorFlow or PyTorch.

• Knowledge of Kubernetes and related tools (e.g., ArgoCD, Prometheus, Istio).

Nice to have:

• Experience with serverless inference frameworks such as kfserve or Seldon Core.

• Familiarity with Infrastructure as Code tools like Terraform.

• Knowledge of advanced data engineering practices.

• Experience with Generative AI (i.e.. Transformers or Diffusion-based architecture) in production.

• Familiarity with Music Information Retrieval.

Equal opportunity employer
We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.

Application
Ready to make the world feel your work? Please apply, in English, by clicking the link “interested” below.