ML Engineer – Real-Time Audio AI & Production Systems

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

Job summary

A leading AI technology company is seeking an ML Engineer to design and deploy machine learning systems. The role includes working on natural speech interaction and audio data insights, requiring strong skills in Python and ML frameworks like PyTorch or TensorFlow. Ideal candidates have 1-6 years of ML engineering experience and a degree in a relevant field. The position is based in Austin, Texas, and it offers competitive compensation with benefits including bonuses and equity.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python.
• Hands-on experience with ML frameworks.

Responsibilities

• Design, build, and deploy ML systems with full lifecycle ownership.
• Architect AI-powered solutions for natural speech interaction.
• Develop ML models to extract insights from audio data.

Skills

Python programming

Machine Learning frameworks

Communication skills

Real-time inference

Education

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

Tools

PyTorch

TensorFlow

AWS

FastAPI

PostgreSQL

Job description

A leading AI technology company is seeking an ML Engineer to design and deploy machine learning systems. The role includes working on natural speech interaction and audio data insights, requiring strong skills in Python and ML frameworks like PyTorch or TensorFlow. Ideal candidates have 1-6 years of ML engineering experience and a degree in a relevant field. The position is based in Austin, Texas, and it offers competitive compensation with benefits including bonuses and equity.