Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 3 years of experience in machine learning engineering. Strong proficiency in machine learning algorithms, particularly bandit algorithms, LLMs, and general neural networks, is required, along with experience in recommendation systems. Familiarity with Java, Scala, or Python is essential, as is experience with TensorFlow, PyTorch, or Scikit-learn. Experience with large-scale data processing frameworks like Apache Beam, Apache Spark, or Scio, and cloud platforms such as GCP or AWS is preferred.
The Machine Learning Engineer II will contribute to the design, development, evaluation, and refinement of Spotify’s personalization products through hands-on machine learning development. They will collaborate with a cross-functional team to build new product features, prototype new approaches, and productionize solutions for millions of users. The role involves promoting best practices for ML systems development, testing, and evaluation, and participating in an active group of machine learning practitioners to develop a creator-first vision and strategy.
Digital music streaming service with podcasts
Spotify provides a digital music streaming service that allows users to access millions of songs and podcasts from various artists and creators. Users can choose between a free plan, which includes advertisements, and a premium subscription that offers an ad-free experience along with features like offline listening and higher sound quality. This tiered model caters to different user preferences and budgets. Spotify generates revenue through subscription fees from premium users and advertising from the free tier. Unlike its competitors, Spotify stands out with its extensive music library, user-friendly interface, and personalized playlists. The company's goal is to connect listeners with a wide range of audio content while supporting artists and advertisers.