Smule

Own the end-to-end lifecycle of production ML models, including training, optimization, deployment, and monitoring. Collaborate with research scientists to integrate new architectures into scalable systems serving millions of users.

Lead independent research projects in sequence and generative modeling to advance the state of the art in audio and music. Design rigorous experiments and publish findings at top-tier AI venues while collaborating with engineering teams to improve Smule's products.

Develop and adapt state-of-the-art ML techniques to solve product challenges in audio processing, recommendation, and generative music. Design rigorous experiments and build prototype models to improve user experience and product quality.

Design and maintain research infrastructure, including distributed training pipelines and evaluation frameworks. Collaborate with scientists to optimize model architectures and ensure the reproducibility of research results.