Machine Learning Engineer, SoundCloud

• Minimum 2+ years experience in Machine Learning and 4+ years in Software Development
• Hands-on experience with implementing machine learning models and infrastructure for training, deploying, inference and validation of models at scale
• Familiar with common machine learning algorithms and/or other methods relevant to recommendation systems
• Proficiency in Java, Scala, Python, and/or similar languages
• Knowledge of professional software engineering practices including version control, testing, code reviews, CI/CD
• Basic experience with cloud platforms (AWS, GCP, or Azure) for deploying ML services and containerization (Docker)
• Experience with large scale, distributed data processing frameworks/tools like Apache Spark, BigQuery
• Ability to clean, process, and analyze large datasets, as well as experience conducting and interpreting A/B tests using SQL
• Solid communication skills and enjoy working as a part of a cross-functional, solutions oriented team
• Strong problem solving skills and the ability to deliver concise, actionable solutions

Desirable

• We are looking for a Mid-level/Senior Machine Learning Engineer to join the SoundCloud Recommendation team (part of Music Discovery & Intelligence group), with a mission to help users find and play what they’re looking for and enable them to explore further to discover music that exists nowhere else and connect directly with the artists that make it
• In the role you will be responsible for the software engineering and machine learning models and infrastructure necessary to leverage the data and other resources to build and deliver search and recommendation mechanisms at scale
• Build, evaluate, and deploy recommendation models at scale, developing key ML infrastructure components, and support experimentation
• Take responsibility for well-defined tasks and help shape technical decisions, design, and best practices