Machine Learning Engineer, Infrastructure

Rad AI is a healthcare AI company transforming radiology with AI-driven solutions. The company has secured over $140M in funding and has been recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie. Rad AI is looking for a Machine Learning Engineer to join its MLOps team to help build and maintain the infrastructure that supports its cutting-edge AI research and products.

Requirements

• 6+ years of industry experience in ML Engineering in cloud-native environments
• In-depth knowledge of Python (required), Javascript/Typescript (nice to have), or other modern languages in the ML domain
• Strong experience with infrastructure and DevOps tools such as Kubernetes, Docker, and Ansible
• Strong knowledge of cloud computing platforms such as AWS (preferable), GCP, and Azure
• Experience architecting distributed systems, storage systems, and databases
• Experience working with machine learning frameworks such as PyTorch and LangGraph
• Experience with Airflow (preferable) or other orchestration tools
• Experience with infrastructure-as-code tools such as CDK, Terraform, Pulumi, Cloud Formation, etc.
• Experience with monitoring, tracing, and logging tools such Cloudwatch, NewRelic, Grafana, etc.
• Excellent communication skills, with a strong sense of ownership and a systematic approach to problem-solving
• Proven ability to manage and lead active incidents, address what caused them, and establish systems to avoid them in the future via blameless postmortems

Benefits

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