Rad AI · 2 months ago
Staff ML Research Scientist
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$190K/yr - $260K/yr
7+ years expRad AI is on a mission to transform healthcare with artificial intelligence, focusing on revolutionizing radiology through AI-driven solutions. The Staff Machine Learning Research Scientist will define and drive the next generation of applied research in NLP and clinical AI, collaborating with various stakeholders to translate foundational research into production-scale systems that enhance outcomes for doctors and patients.
Artificial Intelligence (AI)Enterprise SoftwareHealth Care
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 to deliver with engineering and product—and, when relevant, clinicians/domain experts—to align data, success criteria, and timelines
Raise the bar by mentoring peers and codifying standards for reliability, safety, and documentation
Improve the platform (data, training, serving, observability) to speed iteration and ensure reproducibility
Explore new directions, with computer vision/vision-language work as a nice-to-have for future strategic initiatives
Qualification
Required
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)
System thinking: can choose methods based on constraints, design for observability and rollback, and document decisions clearly
Collaborative communicator who writes crisp design docs and explains complex ideas to non-specialists; comfortable mentoring peers
Preferred
Health data familiarity, including EHR or imaging
Experience in one or more areas: 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
Practical tooling: PyTorch plus modern ML ops tools such as MLflow, Databricks, Ray, or Triton
Benefits
Comprehensive Medical, Dental, Vision & Life insurance
HSA (with employer match), FSA, & DCFSA
401(k)
11 Paid Company Holidays
Location Flexibility (Remote-first company!)
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
Company
Rad AI
Rad AI develops software that uses AI to automate radiology report writing, aiming to enhance accuracy and reduce radiologist burnout.
51-200 employees
H1B Sponsorship
Rad AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (7)
2023 (3)
2022 (6)
2021 (2)
Funding
Current Stage
Growth StageTotal Funding
$151MKey Investors
Transformation CapitalKhosla VenturesArtis Ventures
2025-05-20Series C· $8M
2025-01-25Series C· $60M
2024-05-07Series B· $50M
Leadership Team
Doktor Gurson
Co-founder & CEO
Barrett Dwyer
CFO
Recent News
2025-12-05
2025-12-01
2025-11-20
Company data provided by crunchbase