Staff ML Research Scientist

The role

You will drive next generation applied research in NLP and clinical AI. You will own end-to-end research, set technical direction, and collaborate with clinicians and engineers to translate research into production-scale systems.

What you will do

• Own end-to-end applied research including problem framing, design, and shipping to production
• Set technical direction across LLMs, retrieval, and multimodal
• Build evaluation linking offline metrics to online outcomes
• Partner with engineering, product, and clinicians to align data and timelines
• Mentor peers and codify standards for reliability, safety, and documentation
• Improve the platform for data, training, serving, and observability
• Explore new directions in computer vision and vision-language work

Required qualifications

• 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
• Proven ability to take models to production
• Hands-on with PyTorch and common experiment/ops tools (for example MLflow, Databricks, Ray, or similar)
• System thinking

Nice to have

• Health data familiarity, including EHR or imaging
• Experience in clinical NLP or LLMs, computer vision, speech, retrieval or multimodal modeling
• Shipped, measured models in production with monitoring and clear rollback
• External or multi-site validation is a plus
• Workflow integration with EHR, RIS, PACS, or reporting systems
• PowerScribe or Dragon exposure helpful
• Strong evaluation practices: calibration, slice analysis, and ablations
• Safety and governance in sensitive domains, including PHI handling and HIPAA or FDA-adjacent environments
• Technical mentorship and contributions to team research culture
• Publications or impactful open-source work

Benefits

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend

About the company

Rad AI is transforming healthcare with artificial intelligence. The company builds AI-driven solutions to revolutionize radiology and improve patient care.