Browse current OpenEvidence openings that JobDrop found directly from the company's careers source.
Role As a Data Platform Software Engineer working at OpenEvidence, you will build end-to-end systems powering critical product and research workflows. Your work will focus on performance, scalability, and accuracy, granting you full autonomy over the infrastructure that helps doctors navigate complex clinical decisions
## Role As an Applied AI Software Engineer working at OpenEvidence, you will build end-to-end systems grounded in a strong intuition for how to leverage modern models as components of thoughtful, intentional products. We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning
## Role As a Software Engineer, Backend and Infrastructure, you will build the mission-critical backend powering our medical AI platform used by healthcare providers worldwide. You will architect and scale core systems, including service reliability and data platforms with autonomy to shape performance, security, and i
## Role As a Security Engineer working at OpenEvidence, you will be a key architect and driver in securing the mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide, with ownership over the security posture, compliance integrity, and resilience of our production ecosyst
## Role As a Software Engineer working on Site Reliability at OpenEvidence, you will build and harden the mission-critical infrastructure powering our medical AI platform used by healthcare providers worldwide. You will apply an SRE mindset to improve systemic health, performance, and efficiency, reducing toil, strengt
## Role As a Research Scientist working at OpenEvidence, you will push the boundaries of what modern models are capable of, bringing a research background focused on building real systems instead of writing papers. You will own problems end-to-end with autonomy, treating evaluation and quantitative proof as first-class
OpenEvidence is the most widely used medical AI platform in the world. In just over a year, our usage has grown to >65% of US clinicians via product-led word of mouth adoption. We are a $12B company with a 30 person engineering team from MIT, Harvard, and Stanford. We believe world-changing products come from a small g