Rad AI is on a mission to transform healthcare with artificial intelligence. We're seeking a Staff Machine Learning Engineer to help build and maintain the infrastructure that supports our cutting-edge AI research and products.
Requirements
- 8+ 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 Terraform (preferable), 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
