Jobs at Smule

Develop and adapt state-of-the-art machine learning methods for audio, content understanding, recommendation, and generative music applications. Design experiments, build prototypes, collaborate with product and engineering teams, publish applied research, and monitor deployed models for performance, fairness, and drift. The role requires translating research ideas into measurable product improvements and production-ready systems.

Build research infrastructure, distributed training pipelines, evaluation frameworks, and tooling for Smule’s machine learning research teams. Collaborate with research scientists to implement and optimize model architectures, training procedures, and data pipelines. Ensure reproducibility, optimize GPU training and inference performance, and contribute to reusable internal and open-source libraries.

Build and maintain production machine learning pipelines from data ingestion through deployment, monitoring, and iteration. Optimize models for latency, throughput, memory, and cost using techniques such as quantization and pruning. Develop ML CI/CD systems, observability, automated validation, and staged rollouts. Collaborate with research scientists to productionize new models, manage compute infrastructure, and balance performance, reliability, model quality, and budget.