Staff Machine Learning Engineer - Infrastructure

Rad AI(1 month ago)

RemoteFull TimeSenior$160,000 - $265,000Engineering

About this role

A Staff Machine Learning Engineer at Rad AI will develop and maintain the infrastructure that supports AI research and applications in healthcare, specifically for radiology. The role focuses on backend development using Python to architect cloud-native services, manage machine learning workflows, and enhance data pipelines in a HIPAA-compliant environment. Candidates should have extensive experience in ML engineering, familiarity with DevOps tools like Kubernetes and Docker, and knowledge of cloud platforms such as AWS. The position plays a crucial role in ensuring the performance and scalability of AI tools that directly impact patient care.

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Required Skills

Machine Learning Engineering
Cloud-native Environments
Python
Infrastructure Design
DevOps Tools
Kubernetes
Docker
Ansible
Cloud Computing
AWS

+27 more

About Rad AI

www.radai.com

Rad AI is an innovative technology company that specializes in artificial intelligence solutions specifically designed for the field of radiology. Its product suite includes Rad AI Reporting, Rad AI Impressions, and Rad AI Continuity, which collectively enhance workflow by minimizing radiologists' reporting time, reducing burnout, and improving patient follow-up management for incidental findings. The platform automates numerous aspects of radiological reporting, thereby increasing efficiency and accuracy, making it a preferred choice among leading healthcare institutions. Rad AI's commitment to reversing clinician burnout and enhancing patient care aligns with its recognition as one of the fastest-growing companies in digital health.