ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Palo Alto (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A rapidly growing AI startup is looking for a Machine Learning Engineer to design, build, and deploy advanced ML systems. You will own the full lifecycle of ML models, collaborate with cross-functional teams, and interact with customers to enhance their experience. The ideal candidate has 1-6 years of ML engineering experience, a degree in Computer Science or a related field, and strong programming skills, particularly in Python. Experience with cloud environments, especially AWS, is essential. The position offers competitive compensation, including bonuses and equity.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Strong understanding of data pipeline design and real-time inference.
• Hands-on experience with ML frameworks.

Responsibilities

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

Skills

Programming in Python

Machine Learning frameworks

Cloud environment familiarity

Excellent 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 AI startup is looking for a Machine Learning Engineer to design, build, and deploy advanced ML systems. You will own the full lifecycle of ML models, collaborate with cross-functional teams, and interact with customers to enhance their experience. The ideal candidate has 1-6 years of ML engineering experience, a degree in Computer Science or a related field, and strong programming skills, particularly in Python. Experience with cloud environments, especially AWS, is essential. The position offers competitive compensation, including bonuses and equity.