ML Ops Engineer

March 12

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Intuition Machines

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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.

machine learning and AI

51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Intuition Machines uses AI/ML to build enterprise security products. • We apply our research to systems that serve hundreds of millions of people daily, with a team distributed around the world. • Optimize and maintain high-reliability systems and pipelines that scale to millions of RPS on large volumes of data. • Take care of aspects such as observability, automation, reliability, scalability, continuous integration, and security—across multiple business domains, in a platform-oriented way. • Work with other ML developers from multiple teams to integrate their work within our infrastructure. • Participate in code reviews, take part in architecture and design sessions. • Proactively watch for recent developments in relevant technologies and assess their applicability. • Help maintain, extend, and improve existing data/ML workflows and implement new ones to handle high-volume data flows. • Reduce time-to-deployment for dashboards and ML models.

🎯 Requirements

• 4+ years of professional experience building and maintaining large-scale production systems with a focus on performance, scalability, and reliability. • Significant experience coding and developing in Python. • A person who enjoys improving existing code and infrastructure. • Experience with orchestration platforms: Kubernetes, containerization, and microservice design; event-driven model for workflow orchestration, monorepo-scale CI/CD, and testing. • Experience with database systems (SQL, NoSQL), distributed systems and architectures, and stream processing (preferably ClickHouse and Redpanda). • Familiarity with machine learning fundamentals such as data preparation, model training, model evaluation, and model inference. • Focus on clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests. • Bachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience.

🏖️ 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.