Senior/Staff Machine Learning Engineer - Content Discovery

Suno is a rapidly growing entertainment platform focused on AI-driven music creation, aiming to make music accessible and enjoyable for everyone. The company values innovation, quality, and user engagement, working with a small, dedicated team to develop cutting-edge tools that enable users to produce music in new ways. The environment is fast-paced, emphasizing ownership and technical excellence in building a new medium of entertainment.

The role involves developing and deploying advanced recommendation models to personalize music discovery experiences. The engineer will work on formulating user preference models, designing learning systems, and optimizing real-time recommendation systems. Collaboration with product and research teams is key, along with running large-scale experiments to evaluate model performance and impact.

Candidates should have a strong background in machine learning, data science, or related fields, with proficiency in Python and ML frameworks like PyTorch. Experience in building scalable ML solutions, understanding data pipelines, and working with cloud technologies such as AWS or Spark is essential. The role is onsite in San Francisco and requires a minimum of 3 years of relevant industry experience, with a preference for those with a passion for music.