Lead ML Engineer

About

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.

Responsibilities

• 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 Will 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 real‑world 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

Requirements

• 7+ years of experience building and maintaining large‑scale 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 problem‑solving 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 non‑technical 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

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 equality of opportunity and are committed to creating an inclusive environment for all team members.

Additional Information

• Please note that all positions require pre‑employment screening, including third‑party verification of work history, education, and identity, as well as a final in‑person interview and identity verification step, which will be conducted in your country of residence.

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