Engineering Manager, ML Security and Research

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Strong background in machine learning, data science, or engineering., Production ML experience with real-world applications., Experience in engineering management or technical leadership roles., Proficiency in high-availability systems, Python, and distributed systems..

Key responsibilities:

  • Lead the ML Security team in executing and delivering projects.
  • Make architectural and technical decisions, including code reviews and design.
  • Mentor team members to support their growth and engagement.
  • Build and deploy ML solutions from data exploration to production monitoring.

Intuition Machines logo
Intuition Machines SME https://www.imachines.com
51 - 200 Employees
See all jobs

Job description

Intuition Machines security products are used at scale by category leaders in every industry. You are probably familiar with our bestknown product, the hCaptcha security suite.
Our approach is simple: high agency, small teams, and rapid iteration. AIML is at the core of our products. We build our systems for speed, with a team distributed around the world.

As an Engineering Manager you will lead our ML Security team as we build security products including bot, agent, and human fraud and abuse detection. Youll execute roadmaps, iterate on current and new products, and drive team growth while working with research, product, and tech leads.
Engineering Manager for us is a hands on, highly technical role: while you wont be coding every day, you are expected to review codePRs, act as a tech lead when required, and mentor engineers in your areas of expertise.


What you will do:
  • Lead ML Security team execution and delivery, collaborating with crossfunctional partners.
  • Make architectural and technical decisions, staying handson with code reviews and design.
  • Mentor team members, ensuring their growth and engagement.
  • Build ML solutions from data exploration through production deployment and monitoring.

    • What you will learn:
      • Experience with systems impacting hundreds of millions of users.
      • Expertise in realtime abuse detection and prevention at scale.
      • Endtoend impact from raw data to production solutions.

        • What are we looking for:
          • Strong MLdata science or engineering background with production ML experience.
          • Engineering management andor tech lead experience with ability to engage engineers and researchers on technical topics.
          • Expertise in highavailability systems, Python, ML pipelines, and distributed systems.
          • Experience with MLOps, ML systems, and largescale internetfacing applications.
          • Strong communication skills across technical and nontechnical audiences.
          • Ability to prioritize and coordinate engineering team work.
            • Our Tech Stack includes: Python, Rust, Kubernetes, Ray, AWSAzure, ClickHouse, Argo, Redpanda.


              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 foster an inclusive environment where all team members can thrive.
                  Join us as we transform cyber security, user privacy, and machine learning online!

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Team Leadership
  • Communication
  • Mentorship
  • Prioritization

Engineering Manager Related jobs