OpenEvidence
Vertical AI · Clinical knowledge AI
Vertical AI · Clinical knowledge AI
OpenEvidence currently has 8 active AI-related roles in our index. The most common open titles are: Make Your Own Role, Member of Technical Staff, Research Scientist, Software Engineer, Applied AI , Software Engineer, Backend and Infrastructure. Most positions are in Engineering and Research.
OpenEvidence's active AI hiring is concentrated in: application (88%), data (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenEvidence is hiring AI talent in: United States (8 roles).
Job postings at OpenEvidence most frequently reference: model serving, evals.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, Applied AI Software Engineer, Applied AI to build end-to-end systems leveraging modern models as components for a medical AI platform. The role emphasizes ownership, autonomy, and delivering concrete outcomes impacting millions of lives. | Ship | 8 |
| Research Scientist Research Scientist role at OpenEvidence, a medical AI platform, focusing on building real systems with a strong emphasis on evaluation and quantitative proof. The role requires end-to-end ownership and autonomy, contributing to a $12B company with a small, exceptional engineering team. | Ship | 8 |
| Member of Technical Staff The company is building a medical AI platform and is looking for engineers/scientists to define and build the future of this platform. The role emphasizes end-to-end ownership, building impactful products, and driving significant revenue. The ideal candidate is a builder who is autonomous, precise, and motivated. | Ship | 8 |
| Make Your Own Role Seeking exceptional, autonomous builders to define the default platform for medical AI. This role is for world-class engineers or scientists looking to deliver concrete outcomes that impact hundreds of millions of lives. The company is a $12B, 30-person engineering team from MIT, Harvard, and Stanford, with >65% US clinician usage in just over a year. The ideal candidate is a brilliant builder who is smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego, with a desire for end-to-end ownership and to make something from nothing. | Ship | 7 |
| Software Engineer, Product Software Engineer, Product role at OpenEvidence, a medical AI platform company, focusing on building and shipping end-to-end features that impact clinical decisions and patient interactions. The role emphasizes autonomy, ownership, and fast-paced development within a small, exceptional engineering team. | Ship | 7 |