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
Get jobs like this in your inbox
Weekly Next.js, TypeScript hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
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.
View company profile →