Lead Machine Learning Engineer

Summary

Join Intuition Machines, a company building enterprise security products with an AI/ML focus, as a Lead Machine Learning Engineer. You will lead large-scale ML projects from inception to production, making key architectural decisions and driving collaboration across teams. This role requires expertise in machine learning algorithms, productionizing ML models, and scaling systems. You will also mentor other engineers and set technical standards. Intuition Machines offers a fully remote position with flexible hours, a global team, and opportunities to work on high-impact projects.

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

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

Benefits

• 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