Ml Ops Engineer

Summary

Join Intuition Machines, a company using AI/ML to build enterprise security products, and work on our hCaptcha security suite. We offer a remote position with flexible hours and a focus on low overhead, small teams, and rapid iteration. You will optimize and maintain high-reliability systems, collaborate with other ML developers, and participate in code reviews and design sessions. The ideal candidate has 4+ years of experience building large-scale production systems, significant Python experience, and familiarity with machine learning fundamentals. We offer a fully remote position with flexible hours, a collaborative team, and opportunities for high impact work.

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

Responsibilities

• 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

Preferred Qualifications

• Professional experience with programming languages like C++, Rust, or Go
• College-level mathematical knowledge (linear algebra, probability theory, statistics, matrix calculus)
• Practical experience applying ML concepts such as optimization, classification, regression, and generalization

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