Intuition Machines
51 - 200 employees
Founded 2014
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Intuition Machines is a leader in machine intelligence, specializing in privacy-preserving AI platforms and research. The company provides AI/ML products and services to some of the largest online services worldwide, focusing on scaling and solving complex problems using machine learning. Intuition Machines develops innovative solutions like the hCaptcha Security Suite, which is used by enterprises globally to protect hundreds of millions of people with its privacy-first approach to security AI. The firm's offerings include the IM Perception Platform, which automates the train-deploy-improve cycle with a focus on active learning and robust APIs. Additionally, Intuition Machines engages in cutting-edge AI/ML research, contributing to advances in security machine learning, fraud detection, and data privacy. The company also collaborates with top online payment processors, offering models with high precision and almost zero false positives, without using personally identifiable information. Notably, Cloudflare has chosen Intuition Machines' hCaptcha Enterprise for securing a significant portion of internet sites.
Senior/Lead ML Applied Scientist
🕒 March 31
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Intuition Machines
51 - 200 employees
Founded 2014
🤖 Artificial Intelligence
🔒 Cybersecurity
☁️ SaaS
Artificial Intelligence • Cybersecurity • SaaS
Intuition Machines is a leader in machine intelligence, specializing in privacy-preserving AI platforms and research. The company provides AI/ML products and services to some of the largest online services worldwide, focusing on scaling and solving complex problems using machine learning. Intuition Machines develops innovative solutions like the hCaptcha Security Suite, which is used by enterprises globally to protect hundreds of millions of people with its privacy-first approach to security AI. The firm's offerings include the IM Perception Platform, which automates the train-deploy-improve cycle with a focus on active learning and robust APIs. Additionally, Intuition Machines engages in cutting-edge AI/ML research, contributing to advances in security machine learning, fraud detection, and data privacy. The company also collaborates with top online payment processors, offering models with high precision and almost zero false positives, without using personally identifiable information. Notably, Cloudflare has chosen Intuition Machines' hCaptcha Enterprise for securing a significant portion of internet sites.
📋 Description
• Build ML models that can scale to millions of requests per second while maintaining performance. • Translate business requirements into technical specifications. • Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively. • Provide technical mentorship to other ML research engineers. • Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users. • Write clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests. • Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability. • Provide technical input to the research roadmap.
🎯 Requirements
• 5+ years of professional experience in applied ML. • Proven experience with the entire modeling lifecycle: building, evaluating, and debugging large ML models. • Experience with large-scale categorical and structured data. • Expertise in real-time ML models, incremental learning, and online learning. • Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc. • Bachelor’s degree in a technical field (or equivalent practical experience). • Thoughtful, self-directed individual who is comfortable making technical decisions independently.
🏖️ Benefits
• Fully remote position with flexible working hours. • An inspiring team of colleagues spread all over the world. • Pleasant, modern development and deployment workflows: ship early, ship often. • High impact: lots of users, happy customers, high growth, and cutting edge R&D. • Flat organization, direct interaction with customer teams.
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