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# Senior Machine Learning Engineer

- **Company:** Spotify
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Scala (Programming Language), Software Engineering, Pytorch, Data Analytics, Xgboost, Machine Learning Operations, Feature Extraction, Data Pipelines, Apache Beam
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25303_5a3f3421a29e40dc29afc2862faffc71

## About the Role

* You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in machine learning algorithms for recommender systems
 * Familiarity or a hands-on experience with representation learning is a big plus
 * You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages
 * Experience with TensorFlow, PyTorch, XGBoost, etc is a strong plusYou have experience with data pipeline tools like Apache Beam, Scio, etc., and cloud platforms like GCP or AWS
 * You care about agile software processes, data-driven development, reliability, and disciplined experimentation
 * You routinely survey research publications in the machine learning and software engineering communities
 * You love your customers even more than your code

## Description

We are looking for a Senior Machine Learning Engineer to join our team. We are at the forefront of deriving foundational knowledge through vectors and representations of music content and users' taste, which are key for Spotify teams to create personalized, engaging experiences. This is a unique opportunity to help develop and improve our next-gen user representations, and shape the way Spotify recommendations work. You'll build machine learning products at scale, drive a ton of business impact, and join a high-energy, positive team environment!

Join us and you'll keep millions of users listening to great recommendations every day.

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 model development, testing, evaluation, etc., both inside the team as well as throughout the organization
 * Be part of an active group of machine learning practitioners across Spotify