Founding AI Engineer — Medical Imaging
Role summary
We are seeking a founding AI Engineer to build infrastructure for next-generation healthcare AI systems, focusing on women's health research and diagnostics. This role involves designing and developing advanced ML systems at the intersection of medical imaging, machine learning, and data infrastructure. You will collaborate with the founding team on research, modeling, and creating scalable ML pipelines, including developing deep learning models, implementing computer vision architectures, and building tools for model evaluation.
Description:
We are building infrastructure to enable the next generation of healthcare AI systems. Our work sits at the intersection of
medical imaging, machine learning, and data infrastructure
, with a focus on enabling better tools for
women’s health research and diagnostics
.
We are seeking a
founding AI engineer with experience in medical imaging or biomedical machine learning
to help design and develop advanced ML systems.
You will work directly with the founding team on research, modeling, and building scalable ML pipelines.
Responsibilities:
- Develop and train deep learning models for imaging applications
- Design data pipelines and model training workflows
- Implement and experiment with computer vision architectures
- Work with large-scale imaging datasets
- Build tools for model evaluation, benchmarking, and experimentation
Preferred Background:
- Graduate degree (MS/PHD, or equivalent experience) in
computer science, biomedical engineering, medical imaging, or machine learning
- Experience with
deep learning frameworks
- Experience with
computer vision or medical imaging analysis
- Familiarity with
DICOM, radiology imaging workflows, or biomedical datasets
- Interest in
AI applications in women’s health