Machine Learning Engineer
US$135,000 – US$202,000 / yr base salary
Posted 5 Aug 2026
Advertised as “Senior Machine Learning Engineer I”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- I
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
| Base salary | US$135,000 – US$202,000 / yr |
|---|
Field of studyComputer Science, Machine learning (or related)
Study levelBachelor's or higher
About Judi Health
Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.
Location: Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area)
Position Summary:
Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking for an experienced software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare.
Responsibilities:
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Design, develop, and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
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Develop and maintain backend services using Python, focusing on AI-driven applications.
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Design and implement APIs for seamless integration with AI models and services.
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Design multi-agent orchestration patterns (e.g. supervisor/subagent architectures, tool-use boundaries, human-in-the-loop gating) and evaluate architectural tradeoffs for scaling agent development across teams.