Machine Learning Engineer

What You'll Do

• Contribute to designing, building, evaluating, shipping, and refining Spotify’s personalization products by hands-on ML development
• Collaborate with a cross 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
• Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users
• Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization
• Be part of an active group of machine learning practitioners in Europe (and across Spotify) collaborating with one another
• Together with a wide range of collaborators, help develop a creator-first vision and strategy that keeps Spotify at the forefront of innovation in the field.

Who You Are

• You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in bandit algorithms, LLMs, general neural networks, and/or other methods relevant to recommendation systems
• You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus
• You have some 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
• You care about agile software processes, data-driven development, reliability, and disciplined experimentation
• You love your customers even more than your code

Where You'll Be

• We offer you the flexibility to work where you work best! For this role, you can be within the European region as long as we have a work location.
• This team operates within the GMT/CET time zone for collaboration.
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