Description:

The Personalization team at Spotify focuses on enhancing user experience by making music and podcast recommendations easier and more enjoyable.
The team is responsible for popular features like Blend and Discover Weekly, leveraging deep understanding of music and podcasts.
The Senior Machine Learning Engineer will work with a dedicated team of engineers to connect creators with users through recommendation algorithms.
Responsibilities include designing, building, evaluating, shipping, and refining personalization products through hands-on machine learning development.
The role involves collaboration with a cross-functional agile team, including user research, design, data science, product management, and engineering to create new product features.
The engineer will prototype new approaches and scale solutions for hundreds of millions of active users.
The position promotes best practices in machine learning systems development, testing, and evaluation within the team and the organization.
The engineer will engage with a community of machine learning practitioners across Europe and Spotify to foster collaboration.
The role contributes to developing a creator-first vision and strategy to maintain Spotify's innovative edge in the field.

Requirements:

A strong background in machine learning with practical experience in applying theory to real-world applications is essential.
Expertise in bandit algorithms, large language models (LLMs), general neural networks, or other methods relevant to recommendation systems is required.
Hands-on experience in implementing production machine learning systems at scale using Java, Scala, Python, or similar languages is necessary.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is a strong plus.
Experience with large-scale, distributed data processing frameworks/tools like Apache Beam or Apache Spark is preferred.
Knowledge of cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS) is beneficial.
A commitment to agile software processes, data-driven development, reliability, and disciplined experimentation is important.
A strong customer-centric mindset is essential, valuing user experience over code.

The position offers flexibility to work from anywhere within the European region, as long as it aligns with Spotify's work location policies.
The team operates within the GMT/CET time zone to facilitate collaboration.
Note that France is excluded from this flexibility due to on-call restrictions.