Most kids aren't so lucky. The path from initial concern to diagnosis can take years and cost families upward of $5,000. For many, it never comes at all. In one study, 50% of prisoners were found to be dyslexic, with 80% functionally illiterate. Behind every missed diagnosis is a kid who gets told they're lazy, when the reality is no one ever gave them the right test.
Marker Learning is building an AI-enhanced assessment platform that makes identifying learning differences faster, cheaper, and more equitable, especially for multilingual students who are routinely misidentified or overlooked. Imagine if every kid could be screened for learning differences as easily as they're screened for vision. That's what we're building.
This isn't a chatbot or a homework helper. We're a Series B company backed by Reach Capital, Andreessen Horowitz, and Primary, running a multi-million-dollar longitudinal study spanning K–12 and developing the psychometric engine behind it. We need engineers who are excited by that.
We're hiring a hands-on full-stack engineer (React, Node.js, TypeScript) to help build and scale the platform: adaptive testing infrastructure, AI-powered scoring scoring and data pipelines, and the systems that maintain clinical rigor at scale. High autonomy, lightweight process, fast-paced. 8–10+ years, ideally with 0-to-1 or early-stage experience. You'll work directly with psychometrics, product, and data science, and the engineering decisions you make now will define the platform for years.
Reach out directly with your gh, linkedin, and resume and why you want this position to lucie@markerlearning.com. Please specify if your location, if you are interested in full time, contract or open to both. Make the subject "Lead Engineer Application (I am not a bot)".