Lead ML Engineer

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

Description For Lead ML Engineer

Intuition Machines, a company specializing in enterprise security products with AI/ML focus, is seeking a Lead Machine Learning Engineer to join their distributed global team. The company, known for their hCaptcha security suite, serves hundreds of millions of people worldwide. They operate with a philosophy of low overhead, small teams, and rapid iteration.

The role demands a seasoned professional with 7+ years of experience in building and scaling ML systems. As a Lead ML Engineer, you'll be responsible for driving large-scale ML projects from conception to production, making crucial architectural decisions, and mentoring other engineers. The position offers the opportunity to work with systems handling billions of data points and millions of inferences per second.

The ideal candidate should possess strong software engineering skills, expertise in ML algorithms, and experience with modern orchestration platforms. You'll work with technologies including Python, Kubernetes, Clickhouse, Argo, and Kafka. The role requires both technical excellence and leadership capabilities, as you'll be guiding technical discussions and setting standards for the team.

Working at Intuition Machines offers unique benefits including a fully remote position with flexible hours, collaboration with a global team, and modern development workflows. You'll have the opportunity to make a significant impact, working on systems that serve millions of users daily. The company maintains a flat organizational structure, enabling direct interaction with customer teams and rapid implementation of ideas.

The company values diversity and maintains an inclusive environment for all team members. This is an exceptional opportunity for someone looking to lead ML advancements at scale while contributing to transformative developments in cybersecurity and user privacy.

Last updated 5 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 and models
  • Set technical standards and lead development
  • Provide leadership and mentorship to other ML engineers

Requirements For Lead ML Engineer

Python
Kubernetes
Kafka
  • 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 and distributed systems
  • 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 environment
  • Flat organization structure
  • Direct interaction with customer teams

Interested in this job?

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