Software Engineer, Data Platform
Join OpenEvidence as a Data Platform Software Engineer to build impactful systems for medical AI in a fast-paced environment.
Posted by employer 6 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Software Engineer for the Data Platform at OpenEvidence, the individual will develop comprehensive systems that enhance critical workflows for medical professionals, focusing on performance and scalability. Proficiency in building robust infrastructure is essential, along with a strong foundation in software engineering principles. This position is ideal for experienced engineers who thrive in dynamic environments and seek to make a significant impact in the medical AI space. OpenEvidence's culture emphasizes autonomy and excellence, attracting top talent from prestigious institutions.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from OpenEvidence's career page.
- OpenEvidence has 7 other open roles including Research Scientist, Member of Technical Staff, Security Engineer, Platform Security .
- 5148 active AI/ML roles on Joblaze right now.
- 2 active medical AI roles on Joblaze right now.
- Typical AI/ML salary we track runs $140,000–$231,000 (median $180,000, across 2237 roles). See AI/ML salary trends
Quick facts
- Is the Software Engineer, Data Platform role remote?
- No — this is an on-site role in San Francisco.
- Where is the role based?
- OpenEvidence is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, medical AI.
- What seniority level is this role?
- OpenEvidence targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, Data Platform role at OpenEvidence.
From the original posting
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 in real-time.
We hire exceptional builders, not in narrow lanes. Engineers work across products and projects, owning work wherever they can create the most impact.
About Us
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 group of exceptional, autonomous builders, organized along focused objectives and empowered to take individual ownership and run fast. We are growing our team to seize a once-in-a-lifetime opportunity to define the default platform for medical AI.
If you are a world-class engineer or scientist looking to define the bleeding edge and deliver concrete outcomes that impact hundreds of millions of lives, we want to talk.
Culture
We believe work should be engaged with at a world-class level. Building 0->1 and scaling 1->1000 are professional sports, and uncompromising excellence is the bar. We believe building technologies that haven't existed is only possible with end-to-end ownership. Important things are accomplished when an individual decides to accomplish them.
Who are you?
If you are looking to complete tickets 9-5, this job is not for you. If you are looking to write papers, this job is not for you. If you are looking to lean in and get your hands dirty, bruised, and bloody, making something from nothing, personally impacting hundreds of millions of lives, and driving ten figures of revenue, this job might be for you.
The ideal candidate is a brilliant builder. They are smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego. Does that sound rare? It is rare, we have only found 30 of them, and we would like to find more.
Location
All full-time roles on our engineering team are in-person 5 days a week in SF or Miami.
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