ML Engineer – Real-Time Audio AI & Production Systems

Catalyst Labs; San Francisco (CA); Sur place; USD 100 000 - 130 000; Plein temps

Avantages offerts par ce poste

Above market base

Bonus

Equity

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

Machine Learning

Python

Data Pipeline Design

AI Solutions

Cloud Environments

Communication Skills

Formation

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

Outils

PyTorch

TensorFlow

AWS

PostgreSQL

Description du poste

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.