Senior MLOps Engineer

Key Skills

Continuous Integration & Continuous Delivery - CI/CD, Database, Design, Effective communication skills, Kubernetes-K8s, NoSQL, Python Programming, SQL

Job Description

Who we are:

Intuition Machines uses AI/ML to build enterprise security products. Our hCaptcha Enterprise solution is used by many of the world's largest companies including banking, retail, public clouds, and firewall providers. 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 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.

What tech stack will you work with:

• Mixture of languages: Python, JS/TS, Rust.
• ML/Backend systems scaling to millions RPS (via e.g. Kafka, Clickhouse)
• Big data batch pipelines (hundreds of compressed GB every day)
• Kubernetes clusters, queue-driven and event-driven microservices, serverless and multi-CDN deployments.
• Monorepo with GithubActions-based CI/CD.

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.
• 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, stream processing.
• 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.
• 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.