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Machine Learning Manager, Security & Research

Intuition Machines, Inc.
Remote, CAN
Full-time
Mid
Remote
Discovered 3 weeks ago
PythonML pipelinesDistributed systemsMLOps
Free

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Key skills for this role

PythonML pipelinesDistributed systems
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What you will do:

  • 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.

What you will learn:

Experience with systems impacting hundreds of millions of users.

Expertise in real-time abuse detection and prevention at scale.

End-to-end impact from raw data to production solutions.

What are we looking for:

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.

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 celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online!
  • Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.

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