About Jaan Health: Chronic Health Management Platform for US

<p> </p> <p>Machine Learning Intern (R&amp;D)</p> <p>Location: 5-days in NY office<br>Job Type: Full time (June 15 - Aug 14, 2026)<br>Job Reports To: Director of AI<br>Salary Range: $30.00-$35.00/hr.</p> <p><strong>About Jaan Health/Phamily</strong></p> <p>Jaan Health is a leading AI-based care management company serving healthcare providers. For nearly a decade, the company has leveraged its easy-to-use, proprietary technology to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care to hundreds of thousands of previously underserved patients.</p> <p>Phamily, the company's core technology platform, has transformed chronic disease management with clinically tested AI and easy-to-use technology that enables physicians and care teams to offer high-touch, individualized patient care that has been proven to reduce investment in extra labor and the overall cost of care. Phamily helps ensure healthcare providers are compensated fairly for providing high-quality care between office visits, while improving the lives of patients with chronic diseases. Learn more at phamily.com.</p> <p><strong>Job/Role Description: </strong></p> <p>Jaan Health is building AI-powered infrastructure to transform healthcare from reactive treatment to proactive care. Our platform, Phamily, helps providers manage chronic conditions at scale—improving patient outcomes while reducing costs.</p> <p>We are looking for a Machine Learning Intern to work at the intersection of applied research and production systems, helping us advance cutting-edge AI in real-world healthcare environments. This role provides hands-on experience building, evaluating, and improving machine learning systems that directly impact patient outcomes and operational efficiency.</p> <p><strong>Key Responsibilities:</strong> </p> <p>• Design and prototype novel ML approaches, especially in NLP, LLMs, and transformer architectures for healthcare use cases.<br>• Conduct applied research through experimentation, evaluation, and model iteration.<br>• Develop prompting strategies, fine-tuning techniques, and retrieval workflows.<br>• Translate research findings into scalable production-oriented systems.<br>• Build evaluation frameworks connecting model performance to healthcare outcomes.<br>• Collaborate with engineering and product teams to deploy AI-powered features.<br>• Work with large, real-world healthcare datasets and derive actionable insights.<br>• Document methodologies, findings, and technical recommendations.</p> <p><strong>Requirements: </strong></p> <p>• MS or PhD candidate in Machine Learning, Computer Science, or related field<br>• Strong background in deep learning, NLP, and/or LLMs<br>• Hands-on experience with PyTorch / TensorFlow / Hugging Face<br>• Proven ability to run experiments and derive insights from data<br>• Solid Python skills and comfort working with real-world, messy datasets<br>• Interest in bridging research → production impact</p> <p><strong>Preferred Requirements:</strong></p> <p>• Experience with conversational AI<br>• Experience with LLM evaluation, fine-tuning, or retrieval systems<br>• Exposure to healthcare data or applied ML in regulated domains</p> <p><strong>Work Style: </strong></p> <p>We are a fast-growing, early-stage company with a bold mission and significant work ahead; every employee at Jaan Health must embody growth company DNA. This means you have proven success in a high-performing environment: high velocity, strong ownership, comfort with ambiguity, resilience, and a true growth mindset.</p> <p>You are both a playbook builder and executor, able to design scalable approaches for today while anticipating what the business will need tomorrow, and then follow through to deliver results.</p> <p>Our culture is built on five principles that shape how we work, lead, and grow:</p> <p>• Care: We put patients, clients, teammates, and outcomes first.<br>• Curiosity: We ask better questions, challenge assumptions, and keep learning.<br>• Clarity: We simplify complexity, communicate directly, and create alignment.<br>• Co-Creation: We collaborate across teams, perspectives, and disciplines.<br>• Craftsmanship: We execute with excellence, ownership, and continuous improvement.