ML Ops Engineer

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. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.

If you enjoy working at scale on both architecture and data, engineering our ML backend systems may be your ideal job. Our approach is simple: light specs, small teams, and rapid iteration; all done remotely with a team distributed around the world.

What will you do:

• 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.

What we are looking for:

• 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.

Nice to Have:

• 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.

What we offer:

• 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.

We celebrate diversity and are committed to creating an inclusive environment for all members of our team. Join us as we transform cyber security, user privacy, and machine learning online!