Develop and maintain the hCaptcha application tools and services while leveraging JavaScript and Go to improve fraud detection and user verification on a global scale.
Intuition Machines security products are used at scale by category leaders in every industry. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: high agency, small teams, and rapid iteration. AI/ML is at the core of our products. We build our systems for speed, with a team distributed around the world.
As a Senior Backend Engineer on our Detection team, you will develop, support, and maintain the core hCaptcha application tools and services that detect and verify user events. You will work closely with Security and Machine Learning engineers to continuously build features that improve hCaptcha's capabilities by leveraging languages such as JavaScript and or Go to solve problems that impact users on a global scale.
You will practice DevSecOps, handling operations around your code including security implementations, monitoring, automation, and production systems. Our customer-focused organization means you will interact directly with enterprise customers and startups when needed, alongside our product, customer success, and sales teams.
We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members.
Join us as we transform cybersecurity, user privacy, and machine learning online!
Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.
Flexible Work Hours
Fully remote position with flexible working hours.
Intuition Machines, Inc. builds enterprise security products using AI and machine learning, with a strong emphasis on user privacy. Their solutions, including the widely adopted hCaptcha security suite, leverage innovative research to serve hundreds of millions of users efficiently, relying on small, agile teams for rapid development.
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