Senior ML Backend Engineer

Intuition Machines • Full-time • Remote (PL, Warsaw) • 2m ago

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world.
If you enjoy working at scale on both architecture and data, engineering our backend systems may be your ideal job. Our approach is simple: light specs, small teams, and rapid iteration.
What you will do:
Design, build, and maintain high reliability backend systems that scale to millions of RPS.
Work business goals into technical specs and iterative dev plans. We ship early and often, but our first customer of a new product or feature may be deploying it to 500 million people.
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, JS/TS, and Rust, as necessary to solve business goals.
Focus on clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
Work with other backend developers to integrate your work with our infrastructure including automating observability, deployment, quality, and security.
Participate in code reviews, take part in architecture & design sessions, proactively watch for recent developments in relevant technologies and assess their applicability.
What we are looking for:
Thoughtful, conscientious, and self-directed people.
4-10 years of professional experience building and maintaining large-scale production systems with a focus on performance, scalability, and reliability.
Experience with orchestration platforms: Kubernetes, containerization, and microservice design.
Experience with database systems (SQL, NoSQL), distributed systems and architectures, stream processing, test-driven-development, 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 to and with diverse audiences and experience supporting and mentoring peers.
Nice to Have:
College-level mathematical knowledge (linear algebra, probability theory, stats, matrix calculus).
Practical experience applying ML concepts such as optimization, classification, regression, generalization.
What we offer:
Fully remote position with flexible working hours #Li-remote.
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 are committed to building an inclusive and diverse global workforce. We believe that the best way to learn, grow, and succeed, both as individuals and as a company, is to foster a culture that is fundamentally rooted in equality.
Join us as we transform cyber security, user privacy, and machine learning online.