# Staff ML Research Scientist at Rad AI

- Company: Rad AI
- What the company does: Modern radiology AI for reporting, impressions and follow-up. Reduce cognitive burden, improve report quality and help radiologists work faster. Backed by Khosla.
- Company website: https://www.radai.com/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco - Onsite
- Work setup: On-site
- Pay: $190K to $260K base salary per year (USD)
- Posted: 2025-10-16
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/radai/4d53316c-6138-459b-8b51-6800ae5b336d
- Page: https://www.1752.vc/careers/jobs/rad-ai-staff-ml-research-scientist/

## About the role

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.

## What they're looking for

- MS or PhD (or equivalent research experience) in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or related quantitative field
- 7+ years of applied ML research experience (or PhD + 5 years, or equivalent evidence of Staff-level impact)
- Depth in one or more areas: LLMs and NLP, computer vision, speech, recommendation/ranking, retrieval, or multimodal modeling
- Strong experimental rigor: clear hypothesis framing, offline→online linkage, calibration and stratified analyses, ablations that influence decisions
- Proven ability to take models to production
- Hands-on with modern tooling: PyTorch and common experiment/ops tools (for example MLflow, Databricks, Ray, or similar)

Tags: ML & Data