Remote ML Security & Research Lead

Internetwork Expert

Wrocław

Hybrid

PLN 320,000 - 520,000

Full time

14 days+
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Benefits offered by this job

Fully remote
Flexible hours
Global team
R&D opportunities

Job summary

Intuition Machines is seeking an Engineering Manager to lead the ML Security team, guiding architectural decisions and hands-on code reviews while mentoring engineers. You will drive the end-to-end development of security products, from data exploration to production deployment and monitoring, collaborating with research, product, and tech leads in a fast-paced, globally distributed environment.

The role emphasizes real-time abuse detection, high-availability systems, and building scalable ML

Qualifications

  • Strong ML/data science or engineering background with production ML experience.
  • Engineering management and/or tech lead experience.
  • 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 Engineering
System design
Python
Distributed systems
MLOps
Leadership

Tools

Git
CI/CD
Code reviews

Job description

Intuition Machines is seeking an Engineering Manager to lead the ML Security team, guiding architectural decisions and hands-on code reviews while mentoring engineers. You will drive the end-to-end development of security products, from data exploration to production deployment and monitoring, collaborating with research, product, and tech leads in a fast-paced, globally distributed environment.

The role emphasizes real-time abuse detection, high-availability systems, and building scalable ML

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