Founding Applied ML Engineer

Who is Recruiting from Scratch :

Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients.

Applied Machine Learning Engineer - Audio AI

Location : San Francisco, CA or New York, NY (Onsite strongly preferred)

Company Stage of Funding : Seed / Series A

Office Type : Onsite 5 Days a Week

Salary : $200,000 - $250,000 + Competitive Equity

Company Description

Our client is a rapidly growing startup revolutionizing the world of audio AI. Their mission is to build best-in-class infrastructure and models for collecting and training on large-scale, high-fidelity speech and audio datasets across diverse languages and dialects. With a dataset that is already 10x larger than the next largest available, they are empowering leading AI labs and enterprises to push the boundaries of voice technology.

This is an incredible opportunity to join a team of ambitious engineers and researchers with a proven track record in building scalable ML systems. You'll be working on cutting-edge technology in a space that is only beginning to boom-and you'll help shape its trajectory from the ground up.

What You Will Do

• Research, design, and implement advanced machine learning and signal processing solutions focused on speech and audio applications.
• Build production-grade ML inference pipelines and APIs, collaborating closely with cross-functional teams.
• Architect and maintain resilient systems for model inference, evaluation, and performance tracking.
• Own ML initiatives from proof-of-concept to deployment, influencing both roadmap and architecture.
• Work hand-in-hand with operations and data teams to gather training / evaluation data and enhance model quality.
• Lead infrastructure and research efforts to ensure model accuracy, performance, and scalability.

Ideal Candidate Background

Preferred Qualifications

Compensation, Benefits, and Other Perks

If you're excited about shaping the future of audio AI and want to make a real impact on speech-driven technologies, we want to hear from you.