ML Engineer – Real-Time Audio AI & Production Systems

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

Benefits offered by this job

Above market base salary

Bonus

Equity

Job summary

A leading tech startup is looking for an experienced ML Engineer to design, build, and deploy cutting-edge machine learning systems. You will take ownership of the model lifecycle, develop AI solutions, and collaborate with teams to optimize audio data processing. Ideal candidates should have a degree in Computer Science or related fields and experience in ML engineering using Python and frameworks like PyTorch or TensorFlow. Strong communication skills to engage with stakeholders are essential.

Qualifications

• 1-6 years of professional experience in ML engineering.
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Familiar with cloud environments, preferably AWS.

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Architect AI-powered solutions for natural speech interaction.
• Collaborate with teams to shape the AI stack and improve tooling.

Skills

Python

Machine Learning

AI technologies

Data pipeline design

Communication skills

Education

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

Tools

PyTorch

TensorFlow

AWS

FastAPI

PostgreSQL

Redis

Job description

A leading tech startup is looking for an experienced ML Engineer to design, build, and deploy cutting-edge machine learning systems. You will take ownership of the model lifecycle, develop AI solutions, and collaborate with teams to optimize audio data processing. Ideal candidates should have a degree in Computer Science or related fields and experience in ML engineering using Python and frameworks like PyTorch or TensorFlow. Strong communication skills to engage with stakeholders are essential.