VP of Data Science at Rad AI

Seattle, Washington, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

10+ years of experience in data science, ML, or applied research roles, with 5+ years in technical leadership roles
Demonstrated success leading teams that built and deployed production AI at scale in real-world user-facing applications
Hands-on experience with LLMs, transformers, and modern ML stacks (e.g. PyTorch, JAX, TensorFlow, Hugging Face, LangChain)
Strong knowledge of cloud-native data and ML platforms (e.g., BigQuery, Spark, Ray, Airflow, KubeFlow)
Proven ability to manage infrastructure as well as applied ML science
Excellent communication skills, with the ability to influence both executive stakeholders and technical teams
Experience building and deploying models to both B2C and B2B experiences that touches tens of millions if not more
Experience with GenAI, Retrieval, ML or Recommendations
Advanced degree (MS or PhD) in Computer Science, ML, Statistics, or related field preferred

Responsibilities

Lead and grow a cross-functional data organization spanning research science, ML, and analytics
Recruit, mentor, and develop managers and ICs across functions, fostering a collaborative and high-performance culture
Create clear development paths and career opportunities for a diverse and deeply technical team
Define and drive our long-term AI/ML roadmap, ensuring alignment with product and business goals
Balance forward-looking research with delivering impactful, scalable product features
Represent the data science org to executive stakeholders and help shape company-wide priorities
Oversee the design and optimization of data infrastructure and real-time ML systems, including ranking, summarization, RAG, LLM orchestration, and signal processing
Drive best practices for model experimentation, evaluation, deployment, observability, and responsible AI
Enable a flexible, high-velocity experimentation environment that empowers scientists and engineers to move quickly
Partner closely with Product, Engineering, Design, and GTM teams to integrate AI deeply into our user experience
Translate technical capabilities into product innovation and measurable business value
Serve as a thought leader for AI both internally and externally (optional: speaking, publishing, or open-source contributions)

Skills

Machine Learning

Data Science

Data Engineering

MLOps

RAG

LLM Orchestration

Summarization

Ranking

Real-time ML

Data Infrastructure

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees