ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Above market base

Bonus

Equity

Job summary

An innovative technology startup seeks an ML Engineer to design and deploy production-grade machine learning systems. Responsibilities include developing AI-powered solutions and handling the entire AI lifecycle. Candidates should have a Bachelor's or Master's degree in a related field and possess strong programming skills in Python, along with experience in ML frameworks like PyTorch or TensorFlow. Excellent communication skills and the ability to engage with customers are essential. Based in California, the role offers competitive compensation and benefits.

Qualifications

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

Responsibilities

• Design, build, and deploy production-grade ML systems.
• Collaborate with cross-functional teams to improve tooling.
• Handle the entire AI lifecycle from data acquisition to monitoring.

Skills

Machine Learning

Python

Data Pipeline Design

AI Solutions

Cloud Environments

Communication Skills

Education

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

Tools

PyTorch

TensorFlow

AWS

PostgreSQL

Job description

An innovative technology startup seeks an ML Engineer to design and deploy production-grade machine learning systems. Responsibilities include developing AI-powered solutions and handling the entire AI lifecycle. Candidates should have a Bachelor's or Master's degree in a related field and possess strong programming skills in Python, along with experience in ML frameworks like PyTorch or TensorFlow. Excellent communication skills and the ability to engage with customers are essential. Based in California, the role offers competitive compensation and benefits.