ML Engineer – Audio & Real-Time AI Systems

Catalyst Labs; California (MO); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading talent agency in AI is looking for an ML Engineer to design, build, and deploy production-grade ML systems. This role offers full ownership of the model lifecycle, collaborating with teams to deliver impactful solutions. Candidates should hold a related degree and have experience with ML frameworks like PyTorch and TensorFlow. Strong programming skills in Python and excellent communication abilities are required. The position is full-time based in the US, focusing on innovative AI and audio ML applications.

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, preferably AWS.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Collaborate with cross-functional teams to shape the AI stack.
• Handle the entire AI lifecycle from data acquisition to monitoring.

Skills

Python

Machine Learning

Communication skills

Data pipeline design

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, or AI

Tools

PyTorch

TensorFlow

AWS

FastAPI

Job description

A leading talent agency in AI is looking for an ML Engineer to design, build, and deploy production-grade ML systems. This role offers full ownership of the model lifecycle, collaborating with teams to deliver impactful solutions. Candidates should hold a related degree and have experience with ML frameworks like PyTorch and TensorFlow. Strong programming skills in Python and excellent communication abilities are required. The position is full-time based in the US, focusing on innovative AI and audio ML applications.