ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Connecticut; On-site; USD 90,000 - 130,000; Full time

Job summary

A rapidly growing VC-backed startup is seeking a Machine Learning Engineer to design and deploy AI-powered systems. The candidate will manage the full machine learning model lifecycle, from conception to production, focusing on audio data processing and real-time inference. Ideal applicants should hold a relevant degree and possess 1-6 years of experience in ML engineering, with strong skills in Python and familiarity with frameworks like PyTorch and TensorFlow. Various benefits and above-market compensation offered.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python (TypeScript experience a plus).
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with cloud environments (preferably AWS).
• Excellent communication skills with the ability to engage with customers.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Architect and deliver AI-powered solutions enabling natural speech interaction.
• Develop and optimize ML models focused on audio data.
• Collaborate with cross-functional teams to shape the AI stack.
• Handle the entire AI lifecycle including monitoring in production environments.

Skills

Machine Learning

Python

Data Pipeline Design

Real-time Inference

Communication Skills

Education

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

Tools

PyTorch

TensorFlow

AWS

FastAPI

PostgreSQL

Job description

A rapidly growing VC-backed startup is seeking a Machine Learning Engineer to design and deploy AI-powered systems. The candidate will manage the full machine learning model lifecycle, from conception to production, focusing on audio data processing and real-time inference. Ideal applicants should hold a relevant degree and possess 1-6 years of experience in ML engineering, with strong skills in Python and familiarity with frameworks like PyTorch and TensorFlow. Various benefits and above-market compensation offered.