Lead ML Engineer

Intuition Machines builds enterprise security products with an AI / ML focus. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple : low overhead, small teams, and rapid iteration.

We’re looking for a Lead Machine Learning Engineer with strong software engineering skills and a creative mindset for ML-focused problem-solving.

What you'll do here :

• Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance.
• Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable while balancing business and technical constraints.
• Drive collaboration across ML and engineering teams to ensure product success, influencing technical discussions and decisions at all levels.
• Design and implement state-of-the-art machine learning pipelines and models that impact millions of users and generate real business value.
• Set technical standards and lead the development of scalable, testable, and high-performance applications.
• Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization.

What you'll learn :

What we are looking for :

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

What we offer :

We celebrate diversity and are committed to creating an inclusive environment for all members of our team.

Join us as we transform cyber security, user privacy, and machine learning online!

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