Machine Learning Intern (R&D)
Location: 5-days in NY office
Job Type: Full time (June 15 - Aug 14, 2026)
Job Reports To: Director of AI
Salary Range: $30.00-$35.00/hr.
About Jaan Health/Phamily
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.
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.
Job/Role Description:
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.
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.
Key Responsibilities:
• Design and prototype novel ML approaches, especially in NLP, LLMs, and transformer architectures for healthcare use cases.
• Conduct applied research through experimentation, evaluation, and model iteration.
• Develop prompting strategies, fine-tuning techniques, and retrieval workflows.
• Translate research findings into scalable production-oriented systems.
• Build evaluation frameworks connecting model performance to healthcare outcomes.
• Collaborate with engineering and product teams to deploy AI-powered features.
• Work with large, real-world healthcare datasets and derive actionable insights.
• Document methodologies, findings, and technical recommendations.
Requirements:
• MS or PhD candidate in Machine Learning, Computer Science, or related field
• Strong background in deep learning, NLP, and/or LLMs
• Hands-on experience with PyTorch / TensorFlow / Hugging Face
• Proven ability to run experiments and derive insights from data
• Solid Python skills and comfort working with real-world, messy datasets
• Interest in bridging research → production impact
Preferred Requirements:
• Experience with conversational AI
• Experience with LLM evaluation, fine-tuning, or retrieval systems
• Exposure to healthcare data or applied ML in regulated domains
Work Style:
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.
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.
Our culture is built on five principles that shape how we work, lead, and grow:
• Care: We put patients, clients, teammates, and outcomes first.
• Curiosity: We ask better questions, challenge assumptions, and keep learning.
• Clarity: We simplify complexity, communicate directly, and create alignment.
• Co-Creation: We collaborate across teams, perspectives, and disciplines.
• Craftsmanship: We execute with excellence, ownership, and continuous improvement.
What You’ll Gain
Through this internship, you will gain:
• Work on high-impact, real-world AI problems in healthcare
• Own projects that go from research ideas → deployed systems
• Collaborate with a fast-moving, product-driven ML team
• Real-world experience in a fast-paced, high-growth environment
• Exposure to executive leaders and cross-functional teams
• Mentorship and professional development support
• Experience solving real business challenges
• Stronger communication, collaboration, and problem-solving skills
• Opportunity to build confidence, ownership, and business acumen
• A collaborative, mission-driven team helping transform healthcare at scale
If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You’ll join a smart, humble, and collaborative team dedicated to improving healthcare.
Equal Employment Opportunity
Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.
Skills Required
- MS or PhD candidate in Machine Learning, Computer Science, or related field
- Strong background in deep learning, NLP, and/or LLMs
- Hands-on experience with PyTorch / TensorFlow / Hugging Face
- Proven ability to run experiments and derive insights from data
- Solid Python skills and comfort working with real-world, messy datasets
- Interest in bridging research -> production impact
What We Do
Better care for every patient, everywhere: Phamily from Jaan Health For over 4 billion people around the globe, the word “jaan” means life or love. We all cherish the lives and health of those we love. At Jaan Health, nothing is more important than enabling high-quality healthcare for all patients, everywhere, all the time. We believe: High-quality care is only possible when physicians are fairly compensated for all the work they do Physicians can improve clinical outcomes when they can move from reactive, episodic care to proactive care management Patients should be empowered with guidance and support from trusted health care providers wherever and whenever they need it For nearly a decade, we have been building easy-to-use, AI-driven technology to enable medical groups, health systems, and ACOs to better deliver high-ROI, high-quality proactive care across their entire population. Our software platform Phamily has transformed chronic disease management with simple and satisfying technology that lets physicians and care teams focus on increasing patient care, not paperwork.
