Principal Machine Learning Engineer
hace 4 días
New York
Principal Machine Learning Engineer 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