Machine Learning Engineer - Big Data Team

Our mission is to turn data into insights by understanding our content and users behaviour. These insights are used to power models using state-of-the-art machine learning frameworks to help our users discover new and interesting content.

TIDAL was founded with the mission of bringing fans and artists closer together and creating a sustainable industry model that values music and artists. In addition to 57 millions songs, we produce our own content, such as videos, curated playlists, interviews with artists and more.

As a Machine Learning Engineer in TIDAL, you will:

• Design and develop our next generation recommender systems
• Apply machine learning methods to large datasets
• Improve and iterate on existing models and features
• Perform data exploration to understand user behaviour and identify opportunities for improving recommendations
• Analyze and extract features from music and video content

 This is your dream job if you:

• Have a strong interest for Machine Learning or a related field, and keep up with the latest trends and developments
• Have experience with performing analysis on large datasets
• Enjoy both the analytical and engineering challenges of building an end-to-end music recommendation system

 Our technology stack:

• Cloud based Big data platform based on Amazon Web Services, Apache Spark and Elasticsearch
• Java, Scala and Python development environments
• Amazon Sagemaker, Spark ML, scikit-learn and deep learning machine learning frameworks