We're looking for an exceptional BS/MS student to join us for a summer internship and have a direct impact on the future of music technology. This is an opportunity to train, fine-tune and deploy real-time audio models that will reach thousands of creators. You will spend 2 weeks working in-person in NY with the team. Our software was developed by engineers and designers who previously worked at Google, Instagram, Apple, Microsoft, Uber, Unity, Columbia AI and VK. You’ll own a significant pipeline, deploy it to production, and leave with a project you can demonstrate.

Responsibilities

• Ideate and collaborate directly with founders, designers and engineers.
• Turn research prototypes into clean, reproducible Python pipelines.
• Train, tune, and evaluate ranking / classification models on large audio datasets.
• Package models for low-latency inference and slot them into a Python microservices.
• Automate tests and builds with GitHub Actions; monitor runtime metrics in AWS.

Qualifications

• Current BS / MS / PhD student in CS, EE, Applied Math, or similar.
• Strong Python and git; hands-on with at least one modern ML stack (PyTorch, TensorFlow, LightGBM, XGBoost, etc.).
• Comfort with Linux, Docker, and basic AWS (S3, IAM, container deploy).
• Solid communication and the habit of shipping working code.
• Full-time availability for 10–12 weeks between May/June and August/September 2025.

Nice To Have

• Coursework or projects in audio DSP or music-information retrieval.
• You produce, DJ, or have a good musical ear.