AI Research Scientist Intern
GenMD · On-site
MeritLog read this listing from GenMD's Ashby job board and last checked it on September 26, 2026.
Source: the employer's Ashby job board. Open the job post for the latest details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- Palo Alto
Job description
About Us GenMD is unlocking healthcare data at scale. Today, roughly 97% of healthcare data goes unused because of patient privacy concerns. We’ve found a way to unlock that data-safely and ethically-for AI labs, pharma companies, and researchers. This isn’t a chatbot, or an AI agent replacing clinicians or automating paperwork. It’s core infrastructure that enables better drugs, faster clinical trials, and more powerful medical research-the kind of foundation that makes real breakthroughs, including curing diseases, possible. The company was built out of years inside Stanford Medicine, working closely with world-class researchers and clinicians. We have access to tens of millions of patients, longitudinal health records, and clinical notes. GenMD is just coming out of stealth, already revenue-generating, well-funded, and backed by premier investors with years of runway. We’re intentionally small, move fast, and are focused on building something fundamental. Your Mission - Improve and extend our deep learning and LLM-based models through hands-on research and implementation. - Design, train, fine-tune, and evaluate models with a focus on real-world performance. - Translate research ideas into working code and reproducible experiments. - Collaborate closely with engineers to move models from research to usable systems. - Contribute directly to the technical core of the product. Requirements - Currently enrolled in an MS/PhD program in Computer Science, AI, Machine Learning, or a closely related field. - Strong foundation in machine learning, deep learning, and NLP, demonstrated through research or projects. - Hands-on experience training and fine-tuning LLMs (modeling, optimization, evaluation). - Strong coding skills in Python and experience with modern ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). - Comfortable working independently in a fast-moving, startup research environment. Culture - High ownership, high intensity, zero passengers. - We don’t hire for culture fit-we hire people who create culture. Benefits - Competitive comp. - Daily breakfast, coffee, and fresh snacks. On-site Fitness Center. - Team offsites, conferences, late nights building something real.
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