Senior/Staff Machine Learning Engineer, Suno

• Master’s or PhD degree in Computer Science, Machine Learning, Data Science, or a related quantitative field, or equivalent practical experience
• Proficiency in Python and modern ML frameworks (e.g., PyTorch) with the ability to implement and iterate on research ideas
• Solid knowledge and understanding of data pipelines and cloud technologies, e.g., Spark, AWS, etc
• Proven track record of building, deploying, and maintaining 0->1 production Machine Learning or Data Science solutions
• Strong communication and collaboration skills working with cross-functional teams such as Product, Data, Infra, etc
• A love of music (listening, exploring, or making) is a strong plus

Desirable

• We’re looking for early members of our machine learning recommendations team. You’ll work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art recommendation models
• Formulate and develop mathematical models of user preference, similarity, and engagement for music discovery
• Design learning systems that infer user taste from sparse, noisy, and evolving interaction data
• Build and deploy scalable recommendation and ranking models that operate under real-time latency and throughput constraints
• Translate abstract objectives (relevance, novelty, diversity, long-term satisfaction) into measurable metrics and optimized systems
• Run large-scale experiments and causal analyses to evaluate model behavior and product impact
• Work closely with product and research leadership to define the technical direction of Suno’s personalization systems