Senior Machine Learning Engineer, Personalization
Description For Senior Machine Learning Engineer, Personalization
Spotify's Personalization team is seeking a Senior Machine Learning Engineer to join their innovative group responsible for beloved features like Blend and Discover Weekly. This role offers an exciting opportunity to impact millions of users' listening experiences through advanced recommendation algorithms. As a senior ML engineer, you'll work at the intersection of cutting-edge machine learning and practical application, collaborating with a diverse team of engineers, scientists, and product specialists.
The position involves developing and implementing sophisticated ML solutions that connect creators with listeners in personalized ways. You'll be working with state-of-the-art technologies and frameworks, handling large-scale data processing, and contributing to Spotify's mission of revolutionizing music and podcast discovery.
The role offers the flexibility of remote work within the European region (GMT/CET timezone), providing an opportunity to join a global team at one of the world's leading streaming platforms. You'll be part of a collaborative environment that values innovation, user-focused development, and technical excellence.
This is an ideal position for an experienced ML engineer who is passionate about applying theoretical knowledge to real-world problems, enjoys working with large-scale systems, and wants to impact how millions of people discover and enjoy content. The role combines technical challenges with creative problem-solving, offering the chance to work on products that shape the future of digital entertainment.
Responsibilities For Senior Machine Learning Engineer, Personalization
- Contribute to designing, building, evaluating, shipping, and refining Spotify's personalization products
- Collaborate with cross-functional teams to build new product features
- Prototype and productionize solutions at scale for hundreds of millions of users
- Promote best practices of ML systems development and testing
- Participate in machine learning practitioner group collaboration
- Help develop creator-first vision and strategy
Requirements For Senior Machine Learning Engineer, Personalization
- Strong background in machine learning with experience in bandit algorithms, LLMs, and neural networks
- Hands-on experience implementing production machine learning systems at scale in Java, Scala, Python
- Experience with TensorFlow, PyTorch, Scikit-learn
- Experience with distributed data processing frameworks like Apache Beam, Apache Spark, Scio
- Knowledge of cloud platforms like GCP or AWS
- Understanding of agile software processes and data-driven development
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