ML Ops & Infra Engineer — Scale AI Pipelines

Noble Machines; Sunnyvale (CA); On-site; USD 160,000 - 300,000; Full time

Job summary

Noble Machines in Sunnyvale is seeking an experienced ML Ops & Infrastructure Engineer to develop the foundational systems essential for AI development. This critical role intersects both Research and Engineering teams, architecting high-performance ML infrastructure for scalable and reliable machine learning.

The ideal candidate will have over three years of experience in the industry, expertise in cloud platforms (AWS or GCP), and strong programming skills. The position offers a base salary range of $160,000 – $300,000 along with additional bonuses and benefits.

Qualifications

• 3+ years of hands-on industry experience building scalable ML infrastructure.
• Deep expertise in AWS or GCP and modern orchestration tools.
• Strong programming skills in Python and experience with Git.

Responsibilities

• Design and maintain scalable ML infrastructure.
• Manage data ingestion and processing pipelines.
• Optimize environments for distributed model training.

Skills

Cloud platforms expertise (AWS or GCP)

Kubernetes (K8s)

Python programming

Data management pipelines

Containerization

Tools

Docker

Airflow

Terraform

Job description

Noble Machines in Sunnyvale is seeking an experienced ML Ops & Infrastructure Engineer to develop the foundational systems essential for AI development. This critical role intersects both Research and Engineering teams, architecting high-performance ML infrastructure for scalable and reliable machine learning.

The ideal candidate will have over three years of experience in the industry, expertise in cloud platforms (AWS or GCP), and strong programming skills. The position offers a base salary range of $160,000 – $300,000 along with additional bonuses and benefits.