Founding Music AI Engineer

This is a founding engineering role at an early-stage EdTech startup building foundation models for music education working directly with the Head of AI. Youll own the full arc from research to production shipping ML systems that serve a large and growing community of musicians. The role carries meaningful equity upside and significant influence over the technical direction of the product.

• Implement and ship ML models for audio and symbolic music understanding into production systems used by real musicians.
• Translate research ideas from the AI team into solid working engineering implementations.
• Collaborate with data design and product teams to integrate models into user-facing features.
• Curate preprocess and build data pipelines for large-scale music datasets.
• Contribute to model evaluation optimization and deployment with a focus on real-world latency and reliability.

• 3 or more years of experience as a software engineer or ML engineer building and shipping production systems.
• Strong proficiency in Python and ML frameworks such as PyTorch or JAX.
• Demonstrated ability to translate ML research into robust production-ready implementations.
• Experience building and training ML models in real production environments or substantial projects.
• Background from a technically demanding environment such as large-scale infrastructure quantitative finance or a high-growth startup.
• BS or MS in Computer Science Electrical Engineering or a closely related technical field.
• Experience in audio processing sequence modeling or generative model domains is a plus.
• Experience building data pipelines and working with large-scale datasets is a plus.
• Authorized to work in the United States without visa sponsorship.

Base salary: $175000 to $225000 USD annually. This is a founding role with significant equity upside. Visa sponsorship is not available.

On-site in San Francisco California. Candidates should be based in San Francisco and able to work in-person the majority of the week.