ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Chicago (IL); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Above market base

Bonus

Equity

Job summary

A leading AI startup is seeking an ML Engineer to design and deploy production-grade ML systems. You will work across teams, developing innovative AI-powered solutions and optimizing models to derive insights from audio data. The ideal candidate holds a degree in Computer Science with experience in ML. Strong Python skills and familiarity with AWS are essential. The role offers competitive compensation, including bonuses and equity, in a dynamic work environment.

Qualifications

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

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Develop and optimize ML models focused on audio data.
• Collaborate with cross-functional teams for AI solutions.

Skills

Programming in Python

Machine Learning frameworks (PyTorch, TensorFlow)

Cloud environments (AWS)

Data pipeline design

Excellent communication skills

Education

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

Tools

FastAPI

OpenAI APIs

PostgreSQL

Redis

Job description

A leading AI startup is seeking an ML Engineer to design and deploy production-grade ML systems. You will work across teams, developing innovative AI-powered solutions and optimizing models to derive insights from audio data. The ideal candidate holds a degree in Computer Science with experience in ML. Strong Python skills and familiarity with AWS are essential. The role offers competitive compensation, including bonuses and equity, in a dynamic work environment.