Audio ML Engineer — Real-World Conversation Insights

Catalyst Labs; Sunnyvale (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

A leading AI startup is looking for a Machine Learning Engineer to design and deploy production-grade ML systems. Responsibilities include building AI-powered solutions, optimizing ML models focused on audio data, and collaborating with cross-functional teams to enhance the AI stack. Ideal candidates have a degree in Computer Science or a related field, with 1-6 years of experience in ML engineering, strong Python skills, and familiarity with cloud environments. The position offers opportunities for innovation in the ML landscape.

Qualifications

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

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Architect and deliver AI-powered solutions enabling natural speech interaction.
• Collaborate with cross-functional teams to shape the AI stack.

Skills

Python programming

Machine Learning frameworks (PyTorch, TensorFlow)

Cloud infrastructure (AWS)

Data pipeline design

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI

Tools

FastAPI

PostgreSQL

Redis

S3

Job description

A leading AI startup is looking for a Machine Learning Engineer to design and deploy production-grade ML systems. Responsibilities include building AI-powered solutions, optimizing ML models focused on audio data, and collaborating with cross-functional teams to enhance the AI stack. Ideal candidates have a degree in Computer Science or a related field, with 1-6 years of experience in ML engineering, strong Python skills, and familiarity with cloud environments. The position offers opportunities for innovation in the ML landscape.