Tech Stack
Responsibilities
- Own end-to-end applied research: frame the problem, design experiments, ship to production, and monitor impact against real-world metrics.
- Set technical direction across LLMs, retrieval, and multimodal; run ablations/error analysis that change product decisions.
- Build evaluation that matters: link offline metrics to online outcomes; define thresholds, monitoring, and rollback.
- Partner with engineering, product, and clinicians/domain experts to align data, success criteria, and timelines.
- Raise the bar by mentoring peers and codifying standards for reliability, safety, and documentation.
Benefits
- 401k
- Equity
- Health Insurance
Culture
Mission-DrivenCross-Functional TeamsMentorship ProgramWork-Life BalanceInclusive Hiring
Requirements
Required: MS or PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or related quantitative field
Regions: Us
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About Rad AI
Industry: healthtech
Size: small
Rad AI is a healthcare artificial intelligence company transforming radiology with AI-driven solutions that save time, reduce burnout, and improve patient care by leveraging one of the largest proprietary radiology report datasets in the world.
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