Lead ML Engineer

Internetwork Expert; Remote; USD 16,000 - 33,000; Full time

Job summary

An innovative firm is seeking a Lead Machine Learning Engineer to spearhead large-scale ML projects that impact millions of users. This role involves overseeing the entire lifecycle of ML products, from design to deployment, while driving collaboration across teams. You will leverage your extensive experience in building and maintaining production ML systems to influence technical discussions and decisions. Join a dynamic and inclusive team that values creativity and innovation, and contribute to the future of machine learning and cybersecurity in a fully remote and flexible work environment.

Benefits

Fully remote position

Flexible working hours

Inspiring global team

Modern development workflows

High impact projects

Flat organization

Qualifications

• 7+ years of experience in building large-scale ML systems.
• Proven experience in product ownership and complex design decisions.
• Strong communication skills for technical discussions.

Responsibilities

• Lead ML projects from inception to production, ensuring scalability.
• Design and implement machine learning pipelines impacting millions.
• Mentor ML engineers and set technical standards for the team.

Skills

Machine Learning

Software Engineering

Problem Solving

Kubernetes

Python

Distributed Systems

Microservice Design

Communication Skills

Tools

Clickhouse

Argo

Kafka

Job description

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.

What you'll do here:

• 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'll 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.

What we are looking for:

• 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.

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!