Machine Learning Engineer Intern (Audio AI) - Summer

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.