ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Town of Florida (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

A rapidly growing AI startup in New York seeks a Machine Learning Engineer to design and deploy production-grade ML systems. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and 1-6 years of experience in ML engineering. Responsibilities include developing AI solutions, collaborating with teams, and managing the full model lifecycle. Strong skills in Python, cloud environments, and ML frameworks are essential. The position offers above-market compensation with bonuses and equity.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Hands-on experience with ML frameworks like PyTorch or TensorFlow.
• Familiarity with cloud environments, preferably AWS.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Architect and deliver AI-powered solutions for real-time audio understanding.
• Collaborate with teams to shape AI stack foundations.

Skills

Python programming

Machine Learning engineering

Data pipeline design

Real-time inference

Excellent communication

Education

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

Tools

PyTorch

TensorFlow

AWS

FastAPI

PostgreSQL

Job description

A rapidly growing AI startup in New York seeks a Machine Learning Engineer to design and deploy production-grade ML systems. The ideal candidate will have a Bachelor's or Master's degree in a relevant field and 1-6 years of experience in ML engineering. Responsibilities include developing AI solutions, collaborating with teams, and managing the full model lifecycle. Strong skills in Python, cloud environments, and ML frameworks are essential. The position offers above-market compensation with bonuses and equity.