transcranial

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.

Full-Stack Software Engineer | https://boards.greenhouse.io/mdai/jobs/4011987005

Lead Infrastructure Engineer | https://boards.greenhouse.io/mdai/jobs/4011991005

We are a medical AI development platform (https://www.md.ai), currently focused on medical imaging (radiology). 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 experience with JavaScript/TypeScript/React/GraphQL/DICOM.

Please email us directly at [email protected].

We currently have availability for summer interns with skills in React, GraphQL, Kubernetes, Docker, Terraform, GCP/AWS/Azure, TensorFlow/PyTorch, or medical imaging.

Please email us directly at [email protected].

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 are currently looking for front-end developers (React, GraphQL) and software engineers experienced in devops/cloud technologies (Kubernetes, Docker, Terraform, GCP/AWS/Azure).

Please email us directly at [email protected].

[1] https://www.telegraph.co.uk/news/obituaries/2403698/Michael-...

[2] https://www.nytimes.com/2006/12/25/health/25surgeon.html

We are a medical machine learning platform helping doctors and researchers build medical AI. Our focus is on creating high-quality labeled datasets for training and clinical validation, and building tools for model development, training, deployment and validation. Some of our unique challenges include: operating in HIPAA-compliant environments, managing huge medical imaging/text/genomic datasets, distributed data processing and machine learning model training, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We're currently looking for highly motivated front-end or full-stack engineers (React/Vue/GraphQL) to join our growing team.

Please email us directly at [email protected].

We are a medical machine learning platform helping doctors and researchers build medical AI, with the ultimate goal of improving patient care. We help build high-quality labeled datasets for both training and clinical validation, as well as tools for model deployment and execution. Some of our unique challenges include: operating in HIPAA-compliant environments, managing huge medical imaging/text/genomic datasets, distributed data processing and machine learning model training, and building complex web applications with UI/UX appealing to both doctors and engineers alike.

We're looking for awesome front-end engineers (React/Vue/GraphQL), maybe that's you? Experience with devops (Docker/Kubernetes/GCP/AWS), machine learning (Tensorflow/Keras), and anything healthcare-related are definite pluses.

Please email us directly at [email protected].