Machine Learning Engineer II
3 weeks ago
We're looking for a skilled Machine Learning Engineer II to join our team at Spotify, focusing on messaging optimization. Our messaging platform connects users with valuable audio content, and we're building machine learning models to offer a personalized experience for listeners throughout their user journey.
Key Responsibilities
- Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development.
- Collaborate with a multi-functional agile team 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.
- Help drive optimization, testing, and tooling to improve quality.
- Be part of an active group of machine learning practitioners in your mission and across Spotify.
Requirements
- You have a strong background in machine learning, theory, and practice.
- You are comfortable explaining the intuition and assumptions behind ML concepts, experience in the messaging space is a plus.
- You have hands-on experience implementing and maintaining production ML systems in Python, Scala, and using libraries like Tensorflow or PyTorch.
- You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your models.
- You preferably have experience with cloud platforms like GCP or AWS.
Location
- For this role, you will be based in London.
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