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Lead ML Engineer

Intuition Machines builds enterprise security products with AI/ML focus, known for hCaptcha security suite.
Machine Learning
Principal Software Engineer
Remote
7+ years of experience
AI · Cybersecurity

Description For Lead ML Engineer

Intuition Machines, a company known for the hCaptcha security suite, is seeking a Lead Machine Learning Engineer to join their distributed team. This role combines technical leadership with hands-on ML engineering, focusing on building enterprise security products with AI/ML capabilities. The position offers the opportunity to work on systems serving hundreds of millions of users, implementing state-of-the-art machine learning solutions at scale.

The ideal candidate will lead large-scale ML projects from conception to production, make crucial architectural decisions, and mentor other engineers. With a required 7+ years of experience in building production ML systems, the role demands expertise in scaling ML solutions, strong problem-solving abilities, and excellent communication skills.

The company operates with a philosophy of low overhead, small teams, and rapid iteration. Their tech stack includes Python, Kubernetes, Clickhouse, Argo, and Kafka. Working in a fully remote environment, you'll have the flexibility to manage your schedule while collaborating with a global team.

This role is perfect for someone who wants to make a significant impact in cybersecurity and machine learning, working on systems that handle billions of data points and millions of inferences per second. The flat organizational structure ensures direct interaction with customer teams and the ability to influence technical decisions at all levels.

Benefits include flexible working hours, modern development workflows, and the opportunity to work with cutting-edge technology. The company values diversity and maintains an inclusive environment for all team members.

Last updated 3 months ago

Responsibilities For Lead ML Engineer

  • Lead large-scale ML projects and products from inception to production
  • Make key architectural decisions for scalable solutions
  • Drive collaboration across ML and engineering teams
  • Design and implement state-of-the-art machine learning pipelines
  • Set technical standards and lead development
  • Provide leadership and mentorship to other ML engineers

Requirements For Lead ML Engineer

Python
Kubernetes
  • 7+ years of experience building and maintaining large-scale production ML systems
  • Proven experience as owner or significant contributor to products used by thousands of customers
  • Expertise in machine learning algorithms and productionizing ML models
  • Strong problem-solving skills with creative approaches
  • Experience leading technical discussions and setting technical standards
  • Excellent written and verbal communication skills
  • Familiarity with modern orchestration platforms
  • Ability to identify and solve complex research problems

Benefits For Lead ML Engineer

  • Fully remote position with flexible working hours
  • Inspiring team of colleagues worldwide
  • Modern development and deployment workflows
  • High impact work with many users
  • Flat organization
  • Direct interaction with customer teams

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