Remote ML Security Lead - Fraud Detection & Research

Intuition Machines, Inc.; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Fully remote position

Flexible working hours

Global team

Job summary

Intuition Machines, Inc. is seeking an Engineering Manager to lead the ML Security team, driving bot and human fraud detection products.

You will execute roadmaps, review code, and mentor engineers while collaborating with research, product, and tech leads to deliver scalable ML security solutions. The role requires hands-on technical leadership, experience with ML pipelines and high-availability systems, and the ability to scale impact across millions of users in a fully remote, globally

Qualifications

• Strong ML/data science or engineering background with production ML experience.
• Engineering management and/or tech lead experience with ability to engage engineers and researchers on technical topics.
• 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

ML & data science

Engineering leadership

High-availability systems

Python

ML pipelines

MLOps

Distributed systems

Technical communication

Tools

Python

ML Pipelines

MLOps

Distributed systems

Job description

Intuition Machines, Inc. is seeking an Engineering Manager to lead the ML Security team, driving bot and human fraud detection products.

You will execute roadmaps, review code, and mentor engineers while collaborating with research, product, and tech leads to deliver scalable ML security solutions. The role requires hands-on technical leadership, experience with ML pipelines and high-availability systems, and the ability to scale impact across millions of users in a fully remote, globally