Founding Music AI Engineer

Wintermeyer Ventures; San Francisco (CA); On-site; USD 175,000 - 225,000; Full time

Benefits offered by this job

Equity stake

Founding team

Job summary

Wintermeyer Ventures is seeking a founding ML/software engineer to lead end-to-end development of foundation models for music education. You will own research-to-production, shipping ML systems used by a growing community of musicians, with meaningful equity upside and influence over technical direction.

Responsibilities include turning research into production-grade models, building data pipelines, and collaborating with product teams to deliver user-facing features.

Qualifications

• 3+ years of experience as a software or ML engineer shipping production systems.
• Strong proficiency in Python and ML frameworks (PyTorch or JAX).
• Ability to translate ML research into robust production implementations.
• Experience building and training ML models in production environments or significant projects.
• Background from technically demanding environments (e.g., large-scale infra, quantitative finance, or high-growth startups).

Responsibilities

• Implement and ship ML models for audio and symbolic music understanding into production systems.
• Translate research ideas into solid 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 latency and reliability.

Education

BS/MS in Computer Science or Electrical Engineering

Tools

Python

PyTorch

JAX

Data pipelines

Job description

About the Role

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. You'll 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.

What You'll Do

• 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.

What We're Looking For

• 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.

Compensation & Benefits

Base salary: $175,000 to $225,000 USD annually. This is a founding role with significant equity upside. Visa sponsorship is not available.

Location

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