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Staff ML Research Scientist

Rad AISan Francisco - OnsiteML & Data
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Salary
$190K - $260K USD
Job type
Full-time
Posted
16 Oct 2025
Status
Open · checked 7d ago

About this role

The Staff ML Research Scientist role at Radiology AI Platform for Reporting & Follow in San Francisco is an onsite opportunity for a seasoned machine learning expert to drive applied research in clinical AI and NLP. This position suits an experienced researcher eager to translate foundational models into production-scale healthcare solutions that directly assist physicians and patients.

Role Overview

As a Staff ML Research Scientist, you will own end-to-end applied research initiatives, framing problems, designing experiments, shipping models to production, and tracking real-world metrics. You will set technical directions across large language models, retrieval, and multimodal systems while ensuring robust evaluation, safety, and reliability standards. Working closely with engineering, product, and clinical teams, you will bridge the gap between abstract research and impactful production-scale systems.

Key Responsibilities

Own end-to-end applied research from problem framing and experiment design to production deployment and monitoring against real-world metrics.
Set technical direction across LLMs, retrieval, and multimodal frameworks through rigorous ablations and error analysis.
Build robust evaluation pipelines linking offline metrics to online outcomes, defining clear monitoring thresholds and rollback strategies.
Partner closely with engineering, product, and clinical domain experts to align data requirements, success criteria, and delivery timelines.
Raise technical standards by mentoring peers and codifying best practices for model safety, reliability, and documentation.
Enhance underlying platforms across data, training, serving, and observability to accelerate iteration cycles and guarantee reproducibility.

Requirements

Master's, PhD, or equivalent research experience in Computer Science, Electrical Engineering, Computational Linguistics, Biomedical Informatics, or a related quantitative field.
Minimum of 7 years of applied ML research experience, or a PhD combined with 5 years of experience, demonstrating Staff-level impact.
Deep domain expertise in one or more areas including LLMs, NLP, computer vision, speech, recommendation, ranking, retrieval, or multimodal modeling.
Strong experimental rigor featuring clear hypothesis framing, offline-to-online linkage, stratified analyses, and decision-driving ablations.
Proven track record of taking complex models successfully into production environments.
System-level thinking with the ability to choose methods based on constraints, design for observability, and write crisp technical documentation.
Collaborative communication skills with experience explaining complex concepts to non-specialists and mentoring peers.

Nice to Have

Familiarity with health data, including electronic health records (EHR) or medical imaging.
Experience with clinical NLP, speech systems, or vision-language modeling.
Shipped and measured production models with external or multi-site validation.
Workflow integration experience with EHR, RIS, PACS, or reporting systems like PowerScribe or Dragon.
Expertise in safety and governance within sensitive domains, including PHI handling, HIPAA compliance, or FDA-adjacent environments.
Active contributions to team research culture, including publications or impactful open-source projects.

Skills and Tools

Hands-on proficiency with PyTorch.
Experience with modern experiment and operations tooling such as MLflow, Databricks, Ray, or Triton.

Salary and Benefits

Annual salary range of $190,000 to $260,000 USD.
Comprehensive medical, dental, vision, and life insurance coverage.
Health Savings Account (HSA) with employer match, Flexible Spending Account (FSA), and Dependent Care FSA (DCFSA).
401(k) retirement plan.
11 paid company holidays and a flexible paid time off (PTO) policy.
Annual company-wide offsite and periodic team offsites.
Annual equipment stipend.

About the Company

Radiology AI Platform for Reporting & Follow is on a mission to transform healthcare using artificial intelligence. Founded by a radiologist, the company builds AI-driven reporting solutions that reduce burnout, save time, and elevate patient care. Backed by over $140 million in funding and recognized widely across the healthcare and technology sectors, the organization impacts nearly 50% of all medical imaging in the United States through partnerships with major healthcare systems and radiology groups.

How to Apply

Candidates are advised to remain vigilant regarding job scams and should apply directly through the official company careers page.

Skills and tech stack

PyTorchNLPComputer Vision

Questions candidates ask

What is the location and work arrangement for this role?

This role is based onsite in the San Francisco office, with expectations to work onsite four days per week.

What is the salary range for the Staff ML Research Scientist position?

The annual salary ranges from $190,000 to $260,000 USD.

What qualifications are required for education and experience?

Candidates need an MS, PhD, or equivalent research experience in a quantitative field such as Computer Science, Electrical Engineering, or Biomedical Informatics, along with 7+ years of applied ML research experience (or a PhD plus 5 years).

What core technical frameworks and tools are required?

Hands-on proficiency with PyTorch and experience with modern MLOps tools such as MLflow, Databricks, Ray, or Triton are required.

How should I submit my application?

You should apply directly through the official company careers page.

Ready to apply?

The application is on the official Rad AI careers page.

Apply on company site