Member of Technical Staff - Computer Vision Models

The Role

• We are consolidating our computer vision hiring into one high-bar role: Member of Technical Staff - Computer Vision Models. This role is for builders who can take medical imaging AI from data and experiments to production systems used in clinical workflows. We are an applied AI team, not a research lab - the job is shipped model behaviour that radiologists trust, not papers.
• You will work on models that understand CT, MRI, X-ray, mammography, and other imaging data, but the expectation is not paper-only research. The expectation is shipped model behavior that radiologists can trust, measure, and improve.
• We are strongly biased toward candidates who can join quickly. If your notice period is short, your application will move faster because these teams are being built now.

What You''ll Own

• Training, evaluation, and deployment of computer vision models for classification, detection, segmentation, measurement, and triage
• Clinical evaluation pipelines that connect model metrics to radiologist utility and patient safety, not just leaderboard numbers
• Dataset curation workflows across DICOM studies, annotations, reports, quality labels, and real-world feedback
• Inference and monitoring systems for production model behavior: drift, failure modes, latency, uncertainty, and clinical exception handling
• Close collaboration with radiologists to understand ground truth, edge cases, false reassurance risk, and what makes an AI output useful
• Technical writing, research artifacts, or publications when they help 5C advance the field

You Should Have

• 2+ years of strong computer vision, deep learning, or production ML experience
• Strong Python and PyTorch skills, including custom datasets, training loops, experiment tracking, and model debugging
• Experience with at least one of: medical imaging, DICOM/NIfTI, 3D volumetric analysis, segmentation, detection, vision transformers, self-supervised learning, or multimodal image-text systems
• The ability to reason rigorously about evaluation: sensitivity, specificity, false positives, false negatives, calibration, cohorts, and clinical usefulness
• Evidence that you can ship or strongly contribute to production ML systems, not just notebooks

Even Better If You Have

• Publications, strong research artifacts, or open-source contributions in computer vision or medical AI
• Experience deploying models with ONNX/TensorRT, distributed inference, active learning, or human-in-the-loop review
• Experience working with radiologists, clinicians, or regulated healthcare data
• Strong software engineering range beyond training code

Why 5C

• 5C is one of the best places to work for serious, engaged builders. We are a leading company in agent-driven software development and a leading business in AI for medical imaging at the same time
• You will work on systems that move from code to clinical impact unusually quickly: reports delivered faster, radiologists made more effective, hospitals able to serve more patients
• Resumes are not important. Proof of work and proof of a high learning rate matter more. Show us systems you built, products you shipped, open-source work, customer outcomes, or unusually strong side projects
• We are strongly biased toward candidates who can join quickly. If your notice period is short, your application will move faster because these teams are being built now.