Senior Machine Learning Engineer, Infrastructure - Remote

Overview

As a Senior Machine Learning Engineer at Rad AI, you will be part of a mission to transform healthcare through AI, developing infrastructure that supports innovative AI research and products.

In Short

• Design, implement, and maintain ML application infrastructure.
• Build and improve ML platforms for continuous integration and delivery.
• Develop cloud-native services and serverless architectures.
• Enable machine learning models in production through data pipeline development.
• Write secure and maintainable code for HIPAA-compliant environments.
• Collaborate with Product Management and Engineering teams.
• Utilize infrastructure and DevOps tools effectively.
• Lead incident management and establish avoidance systems.

Requirements

• 5+ years of ML Engineering experience in cloud environments.
• Proficiency in Python and Javascript/Typescript.
• Experience with Kubernetes, Docker, and Ansible.
• Knowledge of distributed systems and databases.
• Experience with AWS, GCP, or Azure.
• Familiarity with infrastructure-as-code tools like Terraform.
• Experience with monitoring tools like Cloudwatch and Grafana.
• Strong communication skills and problem-solving approach.

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance.
• HSA with employer match, FSA, & DCFSA.
• 401(k) plan.
• 11 Paid Company Holidays.
• Location Flexibility (Remote-first company).
• Flexible PTO policy.
• Annual company-wide offsite.
• Periodic team offsites.
• Annual equipment stipend.