Engineering Manager, ML Security and Research

Summary

Join Intuition Machines, a leader in security products, and lead our ML Security team building cutting-edge security products for fraud and abuse detection. As an Engineering Manager, you will execute roadmaps, iterate on products, and drive team growth, collaborating with research, product, and tech leads. This hands-on, highly technical role requires code review, tech lead responsibilities, and mentoring engineers. You will build ML solutions from data exploration to production deployment and monitoring, working with high-availability systems and large-scale applications. The ideal candidate possesses a strong ML/data science or engineering background with production ML experience and engineering management experience. Intuition Machines offers a fully remote position with flexible working hours and a collaborative, global team.

Requirements

• 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

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
• We foster an inclusive environment where all team members can thrive