ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Austin (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

A revolutionary tech startup is seeking a Machine Learning Engineer based in Austin, Texas. The ideal candidate will have experience in designing and deploying ML systems, with a focus on audio data analysis. Responsibilities include working on AI-powered solutions and collaborating with cross-functional teams. Candidates should hold a relevant degree and possess strong programming skills in Python. The position offers a competitive compensation package, including above-market base salary, bonuses, and equity.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments and infrastructure (preferably AWS).

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Architect and deliver AI-powered solutions enabling natural speech interaction.
• Develop and optimize ML models focused on audio data.

Skills

Python

Machine Learning

Audio data analysis

Data pipeline design

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field

Tools

PyTorch

TensorFlow

AWS

FastAPI

PostgreSQL

Job description

A revolutionary tech startup is seeking a Machine Learning Engineer based in Austin, Texas. The ideal candidate will have experience in designing and deploying ML systems, with a focus on audio data analysis. Responsibilities include working on AI-powered solutions and collaborating with cross-functional teams. Candidates should hold a relevant degree and possess strong programming skills in Python. The position offers a competitive compensation package, including above-market base salary, bonuses, and equity.