Machine Learning Backend Engineer - Remote

Overview

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.

In Short

• 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.