Description:

Intuition Machines uses AI/ML to build enterprise security products, serving hundreds of millions of people daily with a globally distributed team.
The role involves optimizing and maintaining high-reliability systems and pipelines that scale to millions of requests per second on large volumes of data.
Responsibilities include ensuring observability, automation, reliability, scalability, continuous integration, and security across multiple business domains in a platform-oriented manner.
The engineer will collaborate with other ML developers to integrate their work within the existing infrastructure.
Participation in code reviews and architecture/design sessions is expected.
The role requires proactive monitoring of recent developments in relevant technologies and assessing their applicability.
The engineer will help maintain, extend, and improve existing data/ML workflows and implement new ones to manage high-volume data flows.
A key goal is to reduce time-to-deployment for dashboards and ML models.

Requirements:

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

The position is fully remote with flexible working hours.
Employees will be part of an inspiring team of colleagues from around the world.
The company offers pleasant, modern development and deployment workflows that emphasize shipping early and often.
The role has a high impact, with lots of users, happy customers, high growth, and cutting-edge R&D opportunities.
The organization has a flat structure, allowing for direct interaction with customer teams.
The company celebrates diversity and is committed to creating an inclusive environment for all team members.