
Rad AI is hiring a
ML Infrastructure Engineer
About Rad AI
Founded by the youngest US radiologist in history, Rad AI empowers physicians with AI to save time, reduce burnout, and improve the quality of patient care. By combining deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, Rad AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. The company has raised $80+ million to date from venture funds and just closed on its series B financing with investors Khosla Ventures, Gradient (Googleβs AI fund), and ARTIS. Rad AI has also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare.
Job Description
Work on ML infrastructure and MLOps using Python, PyTorch, Airflow/LangGraph, and manage data/feature pipelines and model serving.Remote
Remote Conditions
Onsite/Hybrid preferred, Remote available
Salary
Not Specified
Benefits
Not Specified













