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Rad AI builds generative AI software for radiology that drafts report impressions, speeds up reporting, and tracks follow-up on incidental findings, per the company.
The role sits between research scientists and production, so a person would see how speech recognition models are checked, rolled out, and watched in a live medical setting. You could study how word error rate is measured and try wiring a streaming speech-to-text demo into a web app, while using AI-assisted coding tools as a plus.
Speech models are the core of the product, so much of the work is getting them from testing into a dependable live tool for radiologists. AI coding tools can speed up routine building and testing, but choosing the architecture, judging trade-offs, and keeping a clinical system reliable and compliant stay with people. Mentoring a team and weighing model quality against real-world speed and stability are still human calls.
The role sits between research scientists and production, so a person would see how speech recognition models are checked, rolled out, and watched in a live medical setting. Someone building this experience could study how word error rate is measured and try wiring a small streaming speech to text demo into a web app. Using AI-assisted coding tools in daily work is also named as a plus.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Rad AI builds generative AI software for radiology that drafts report impressions, speeds up reporting, and tracks follow-up on incidental findings, per the company.