Lead ML Engineer

Intuition Machines, Inc. (Headquarters: Remote)

ML AI Python Kubernetes Clickhouse Argo Kafka Distributed Systems Security hCaptcha Leadership Mentorship Architecture Scalability AI Engineer Staff Engineer Management

Intuition Machines uses AI/ML to build enterprise security products like hCaptcha, serving hundreds of millions of users daily. We operate with low overhead, small teams, and rapid iteration.

We are seeking a Lead Machine Learning Engineer with strong software engineering skills (7+ years) and a creative mindset for ML-focused problem-solving. You will lead large-scale ML projects, make key architectural decisions, drive collaboration, and mentor other ML engineers.

What you'll do here:
* Lead large-scale ML projects and products from inception to production (design, implementation, deployment, maintenance).
* Make key architectural decisions ensuring solutions are scalable, efficient, and maintainable.
* Drive collaboration across ML and engineering teams.
* Design and implement state-of-the-art machine learning pipelines and models impacting millions of users.
* Set technical standards and lead development of scalable, testable, and high-performance applications.
* Provide leadership and mentorship to other ML engineers.

What we are looking for:
* 7+ years of experience building and maintaining large-scale production ML systems (performance, scalability, reliability).
* Proven experience as owner or significant contributor to products used by tens of thousands of customers.
* Expertise in machine learning algorithms, productionizing ML models, and scaling systems.
* Strong problem-solving skills with creative approaches.
* Experience leading technical discussions and setting standards.
* Excellent written and verbal communication skills.
* Familiarity with modern orchestration platforms (Kubernetes, containerization, microservice design) and distributed systems.
* Ability to identify, define, and segment complex research problems and drive innovative solutions.

Our tech stack includes Python, Kubernetes, Clickhouse, Argo, Kafka.

What we offer:
* 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.