About
New York, New York - 3 days/week hybrid
$250,000-275,000 base salary + bonus + equity
THE COMPANY
Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE You will be responsible for machine learning model building, development, deployment and scalability for the company's agentic AI product across HUNDREDS of hospitals You will report directly to the founding team and work closely on technical direction Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems Own CI/CD pipelines for MLOps / LLMOps You will play an integral role of building out the AI team and scaling out its product Act as a thought leader role for AI across the business, mentoring junior team members YOUR SKILLS AND EXPERIENCE
The successful Principal Machine Learning Engineer will likely have the following skills and experience:
10+ years of commercial experience preferred with a focus on end-to-end building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems Experience working in a scaling startup is highly preferred Expertise in Python (TensorFlow, PyTorch) for production-grade work Commercial experience building novel AI platforms with large datasets History of working with and managing real-time AI applications in production settings Cloud experience in AWS, Azure or GCP DevOps experience with CI/CD pipelines required History of working on models from concept to production / end-to-end / 0-1 Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar Containerization experience with Docker or Kubernetes Experience in settings wearing multiple hats Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred History of partnering with non-technical stakeholders required Experience owning projects directly preferred BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $250,000-275,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents
Languages
- English
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