What You’ll Do
• Design, train, and optimize clinical-grade 3D medical imaging AI models used in real workflows, impacting tens of thousands of patients every month.
• Work daily with PyTorch, computer vision, 3D medical imaging, ViTs, DETR-style models, and other SOTA methods.
• Read, understand, and extend state-of-the-art research papers and repos - your work will evolve based on the latest breakthroughs in AI.
• Drive iterative model improvements using real feedback from radiologists.
• Leverage our ever-growing data collection and annotation pipelines, currently standing at 100+ million medical images/reports
• Contribute to Rayscape’s research output; team members have the opportunity to publish AI and medical imaging research
Important: This role is about research and model building, not MLOps, backend, DevOps, RAG, LangChain, deployment, or platform engineering.
What Makes This Role Special
• Your models will be deployed in large, real clinical networks - you will directly improve cancer diagnostics and tracking for real patients.
• You’ll work at the intersection of academic and industrial research, with quick feedback loops of your work’s real impact.
• You’ll join a small, high-impact team where your decisions can influence the direction of the company and the advancement of AI in radiology.
If you’re passionate about pushing the limits of 3D medical AI, love researching and building SoTA AI models, and want your work to have immediate real-world impact, we’d love to meet you.