Spotify is looking for a Junior Machine Learning Engineer to join the Subscriptions R&D team, focusing on the User Journey. You will apply machine learning to analyze and enhance how users interact with our platform.
What You'll Do
- Develop and implement machine learning models to understand user behavior and journey patterns.
- Collaborate with data scientists and engineers to build scalable ML systems for the Subscriptions domain.
- Analyze large datasets to identify opportunities for improving user experience and subscription pathways.
- Deploy and monitor models in production, iterating based on performance and business impact.
What We're Looking For
- A degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Hands-on experience with machine learning frameworks such as TensorFlow or PyTorch.
- Proficiency in Python and experience with data processing libraries.
- Solid understanding of machine learning fundamentals, algorithms, and model evaluation.
- Ability to work collaboratively in a cross-functional team environment.
Nice to Have
- Experience with cloud platforms like Google Cloud Platform or AWS.
- Familiarity with big data tools such as Spark or BigQuery.
- Knowledge of software engineering best practices, including version control and CI/CD.
- Interest in the music or audio streaming industry.
Work Mode
This is a hybrid position based in either our London or Stockholm offices.
Spotify is an equal opportunity employer.
