MD.ai | Full-stack and Devops/Infrastructure Engineers | New York, NY or REMOTE (US only) | Full-Time | https://md.ai
MD.ai helps doctors, scientists, and engineers build medical AI that have potential to improve patient care and outcomes. Our overarching goal is to accelerate medical AI development, deployment, and validation. We provide software tools to enable large-scale collaborative dataset curation and annotation as well as model deployment and federated clinical validation, with a particular focus on medical imaging. Our software platform is used by top academic medical institutions as well as large pharmaceutical and healthcare companies.
We're looking for talented full-stack and infrastructure/devops engineers interested in ML/AI and healthcare to join our growing team. You'll have an opportunity to take on significant ownership over product and code, help drive our engineering culture, and really make an impact. Our tech stack includes: React, TypeScript, WebGL, PostgreSQL, Redis, Python, PyTorch, Kubernetes, Terraform, AWS/GCP/Azure.
MD.ai | Summer Interns (for Front-End/Back-End/Machine Learning Engineering) | Remote
We are a medical AI development platform (https://www.md.ai), currently focused on radiology/pathology/dermatology. We help build high-quality labeled datasets for both training and clinical validation, as well as provide tools and infrastructure for deploying and running models at scale. Some of our unique challenges include: operating in HIPAA-compliant environments, working with large medical imaging/text/genomic datasets, managing machine learning model lifecycles, and building complex web applications with UI/UX appealing to both doctors and engineers alike.
We currently have availability for summer interns with skills in React, GraphQL, Kubernetes, Docker, Terraform, GCP/AWS/Azure, TensorFlow/PyTorch, or medical imaging.