Lead ML Engineer

Intuition Machines builds enterprise security products with an AIML 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 bestknown 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 MLfocused problemsolving.

What youll do here:

• Lead largescale 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 stateoftheart 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 highperformance applications.
• Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization.

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  What youll learn:

  • Work on systems that affect millions of users daily, scaling machine learning systems with billions of data points and millions of inferences per second.
  • Gain experience in architecting and scaling advanced ML solutions for realworld challenges, moving beyond standard approaches from research papers.
  • Have the opportunity to define technical strategy, contribute to significant ML advancements, and guide the future direction of ML systems at scale.

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    What we are looking for:

    • 7+ years of experience building and maintaining largescale production ML systems, with a focus on performance, scalability, and reliability.
    • Proven experience as the owner or significant contributor to products used by tens of thousands of customers, with the ability to make complex design decisions.
    • Expertise in machine learning algorithms, productionizing ML models, and scaling systems to handle large data volumes.
    • Strong problemsolving skills with creative approaches to overcoming technical challenges.
    • Experience leading technical discussions, driving decisions, and setting technical standards for a team.
    • Excellent written and verbal communication skills, with the ability to articulate complex technical topics to both technical and nontechnical stakeholders.
    • 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 that align with business and technical goals.

    • 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.

      • 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!