Intuition Machines is hiring a
Senior ML Backend Engineer

Summary

The job is for a backend developer at Intuition Machines, a company that builds enterprise security products with an AI/ML focus. The role involves designing, building, and maintaining large-scale production systems, translating business goals into technical specifications, working with various technologies, and collaborating with other developers.

Requirements

• Thoughtful, conscientious, and self-directed individuals
• 5+ years of professional experience building and maintaining large-scale production systems, with a focus on performance, scalability, and reliability
• In-depth knowledge of Python
• Experience with orchestration platforms (e.g., Argo, Kubernetes), containerization, and microservice design
• Experience with database systems (SQL, NoSQL), distributed systems and architectures, stream processing, test-driven development (TDD), and CI/CD
• Bachelor's degree or foreign equivalent in a technical or related field from an accredited college or university, or equivalent job experience
• Excellent communication, listening, and presentation skills, with experience interacting with diverse audiences and mentoring peers
• Experience leading technical discussions with a team and driving decisions by balancing trade-offs

Responsibilities

• Design, build, and maintain highly reliable backend systems that scale to millions of requests per second (RPS)
• Translate business goals into technical specifications and iterative development plans
• Work with queue-driven and event-driven designs, REST APIs, serverless and microservice architectures, and multi-cloud/multi-CDN environments using Kubernetes and other orchestrators
• Write Python and JavaScript/TypeScript (JS/TS) as necessary to meet business objectives
• Focus on producing clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests
• Collaborate with other backend developers to integrate your work with our infrastructure, including automating observability, deployment, quality, and security
• Participate in code reviews and architecture & design sessions
• Stay up-to-date with recent developments in relevant technologies and assess their applicability

Preferred Qualifications

• College-level knowledge of mathematics (e.g., linear algebra, probability theory, statistics, matrix calculus)
• Experience with Rust, Go, or other programming languages
• Ability to understand and write code in JavaScript/TypeScript (JS/TS)
• Practical experience applying machine learning (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
• We celebrate diversity and are committed to creating an inclusive environment for all members of our team