ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; New Jersey; On-site; USD 100,000 - 150,000; Full time

Job summary

A rapidly growing startup in New York is seeking an experienced ML Engineer to design, develop, and deploy production-grade machine learning systems. The candidate will work with state-of-the-art AI technology to convert audio data into actionable insights. Responsibilities include full lifecycle ownership of ML models, collaboration with cross-functional teams, and customer interaction to deliver impactful solutions. A Bachelor's or Master's degree in a relevant field and programming skills in Python are required. Excellent communication skills are essential.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Strong understanding of data pipeline design and model monitoring.
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Develop and optimize ML models focused on audio data.
• Collaborate with teams to improve AI stack and drive innovation in ML applications.

Skills

Python programming

Machine Learning frameworks (PyTorch, TensorFlow)

Data pipeline design

Cloud environments (AWS)

Excellent communication

Education

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

Tools

FastAPI

OpenAI APIs

PostgreSQL

Redis

S3

Job description

A rapidly growing startup in New York is seeking an experienced ML Engineer to design, develop, and deploy production-grade machine learning systems. The candidate will work with state-of-the-art AI technology to convert audio data into actionable insights. Responsibilities include full lifecycle ownership of ML models, collaboration with cross-functional teams, and customer interaction to deliver impactful solutions. A Bachelor's or Master's degree in a relevant field and programming skills in Python are required. Excellent communication skills are essential.