Head of Data and Machine Learning

MedBridge

Head of Data and Machine Learning at Medbridge, leading the development of AI solutions for healthcare. Driving innovations with proprietary therapeutic care datasets and advanced AI applications.

Posted 5/15/2026full-timeRemote • Arizona, California, Colorado, Florida, Idaho, Illinois, Kansas, Massachusetts, Minnesota, Missouri, New Hampshire, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin • 🇺🇸 United StatesLead💰 $250,000 per yearWebsite

Tech Stack

Tools & technologies

AzurePythonPyTorch

About the role

Key responsibilities & impact

Own the proprietary model flywheel with 90M+ assigned programs and build a proprietary therapeutic AI model
Lead AI product delivery across all AI bets and drive design, development, deployment, and continuous improvement of AI systems
Define and execute the AI/ML technical roadmap by collaborating with Product and Content to prioritize clinical and product needs
Establish trust-by-design as a standard by ensuring transparency and auditability in all AI features
Own the clinical AI safety and quality framework, ensuring HIPAA-compliant data handling alongside Legal
Drive cross-functional alignment and work closely with various teams to embed AI in workflows
Continuously evaluate emerging developments in LLMs and clinical AI for practical advantages

Requirements

What you’ll need

8+ years in machine learning engineering, AI research, or applied ML, with at least 3–5 years in a technical leadership or people-management role
Proven track record of shipping AI/ML systems in production — not just building models, but owning reliability, performance, and clinical or business impact end-to-end
Experience with complex, real-world datasets (healthcare a plus)
A master's degree or PhD in computer science, machine learning, or a related field — or equivalent experience that demonstrates the same depth
Technical depth including advanced Python, classical and deep learning, NLP with transformers, time-series modeling, multimodal inputs, statistical rigor, training and evaluation frameworks
Experience with LLM and agentic systems like prompt engineering, fine-tuning open-source LLMs, RAG architectures, agentic frameworks (LangChain/LangGraph), function calling, token/cost management, guardrails, evaluation frameworks, PyTorch, embedding models
Hands-on experience with Microsoft Azure and Snowflake; secure, scalable, HIPAA-compliant data processing
Strong communicator across audiences — from ML engineers to clinicians to the executive team

Benefits

Comp & perks

A work-hard, have-fun environment with smart, curious people who thrive on hard problems
A values-driven culture centered on connection, collaboration, and co-creation
A diverse, experienced, and friendly team that will welcome, support, and challenge you

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning engineeringAI researchapplied MLPythondeep learningNLPtransformerstime-series modelingstatistical rigortraining and evaluation frameworks

Soft Skills

technical leadershippeople managementstrong communicationcross-functional alignmenttrust-by-designtransparencyauditability

Certifications

master's degreePhD