Staff ML Research Scientist — NLP & Multimodal AI (Remote)

Rad AI; États-Unis; Sur place; USD 190 000 - 265 000; Plein temps

Avantages offerts par ce poste

Medical, Dental, Vision & Life insured

HSA with employer match

401(k)

11 Paid Company Holidays

Flexible PTO

Annual company-wide offsite

Equipment stipend

Remote/onsite flexibility

Résumé du poste

Rad AI in the United States is seeking a Staff Machine Learning Research Scientist to define and drive applied research in NLP and clinical AI. You will work across LLMs, retrieval, representation learning, and multimodal modeling, translating research into production-scale systems.

Collaborate with clinicians, engineers, and product leaders; establish evaluation standards for model quality, safety, and observability, and mentor peers while shaping future AI initiatives in healthcare.

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, 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.

Responsabilités

• 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.

Connaissances

Collaborative communicator

Mentoring peers

Experimental rigor

Production deployment

System thinking

Formation

MS/PhD or equivalent research experience

Outils

PyTorch

MLflow

Databricks

Ray

Triton

Description du poste

Rad AI in the United States is seeking a Staff Machine Learning Research Scientist to define and drive applied research in NLP and clinical AI. You will work across LLMs, retrieval, representation learning, and multimodal modeling, translating research into production-scale systems.

Collaborate with clinicians, engineers, and product leaders; establish evaluation standards for model quality, safety, and observability, and mentor peers while shaping future AI initiatives in healthcare.