ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading AI startup is looking for a Machine Learning Engineer to design and deploy production-grade ML systems. You will work with cutting-edge AI technologies to turn audio data into actionable insights. The ideal candidate has a degree in Computer Science, 1-6 years in ML engineering, and strong Python programming skills. Responsibilities include developing AI solutions, building scalable systems, and collaborating with cross-functional teams. This position offers full-time employment and a dynamic work environment.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience is a plus).
• 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.
• Develop and optimize ML models focused on audio data.
• Handle the entire AI lifecycle, including data acquisition and model training.

Skills

Python programming

Machine Learning

Data pipeline design

AI solutions architecture

Real-time inference

Excellent communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

PyTorch

TensorFlow

AWS

FastAPI

OpenAI APIs

Job description

A leading AI startup is looking for a Machine Learning Engineer to design and deploy production-grade ML systems. You will work with cutting-edge AI technologies to turn audio data into actionable insights. The ideal candidate has a degree in Computer Science, 1-6 years in ML engineering, and strong Python programming skills. Responsibilities include developing AI solutions, building scalable systems, and collaborating with cross-functional teams. This position offers full-time employment and a dynamic work environment.