About the position
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.
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
Nice-to-haves
- Experience with conversational AI
- Experience with LLM evaluation, fine-tuning, or retrieval systems
- Exposure to healthcare data or applied ML in regulated domains
Benefits
- 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
