ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; Cupertino (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A tech-driven AI company is seeking an ML Engineer to design and deploy production-grade ML systems with full ownership of the model lifecycle. The ideal candidate will possess a degree in Computer Science and 1-6 years of experience in ML engineering, with robust programming skills in Python and hands-on experience with ML frameworks like PyTorch or TensorFlow. The role involves collaboration with cross-functional teams to innovate ML applications and improve infrastructure. This position is based in New York, offering competitive compensation with bonus and equity options.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Hands-on experience with ML frameworks like PyTorch or TensorFlow.
• Strong understanding of real-time inference and model monitoring.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Collaborate with cross-functional teams to shape the AI stack.
• Participate in continuous improvement of the ML infrastructure.

Skills

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, Machine Learning, or related field

Tools

FastAPI

OpenAI APIs

PostgreSQL

Job description

A tech-driven AI company is seeking an ML Engineer to design and deploy production-grade ML systems with full ownership of the model lifecycle. The ideal candidate will possess a degree in Computer Science and 1-6 years of experience in ML engineering, with robust programming skills in Python and hands-on experience with ML frameworks like PyTorch or TensorFlow. The role involves collaboration with cross-functional teams to innovate ML applications and improve infrastructure. This position is based in New York, offering competitive compensation with bonus and equity options.