Remote ML Security & Research Engineering Manager

Intuition Machines, Inc.; Buenos Aires; Remote; ARS 213,233,000 - 304,618,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Global team

Ship early, ship often

Flat organization

Job summary

Intuition Machines, Inc. is seeking an Engineering Manager to lead the ML Security team, drive architectural decisions, and mentor engineers.

This hands-on leadership role focuses on building ML security products, from data exploration to production deployment and monitoring, with collaboration across research, product, and tech leads. You will work in a fully remote, fast-moving environment that emphasizes rapid iteration, high impact, and flat organizational structure while maintaining

Qualifications

• Strong ML/data science or engineering background with production ML experience.
• Engineering management and/or tech lead experience engaging engineers and researchers.
• Expertise in high-availability systems, Python, ML pipelines, and distributed systems.
• Experience with MLOps, ML systems, and large-scale internet-facing applications.
• Strong communication skills across technical and non-technical audiences.
• Ability to prioritize and coordinate engineering team work.

Responsibilities

• Lead ML Security team execution and delivery, collaborating with cross-functional partners.
• Make architectural and technical decisions, staying hands-on with code reviews and design.
• Mentor team members, ensuring their growth and engagement.
• Build ML solutions from data exploration through production deployment and monitoring.

Skills

Production ML

Tech lead

Python

ML pipelines

Distributed systems

MLOps

Communication skills

Prioritization

Job description

Intuition Machines, Inc. is seeking an Engineering Manager to lead the ML Security team, drive architectural decisions, and mentor engineers.

This hands-on leadership role focuses on building ML security products, from data exploration to production deployment and monitoring, with collaboration across research, product, and tech leads. You will work in a fully remote, fast-moving environment that emphasizes rapid iteration, high impact, and flat organizational structure while maintaining