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  • Emplois similaires à : Machine Learning Manager, Security & Research
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Machine Learning Manager, Security & ResearchIntuition Machines • New York, New York, United States
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Machine Learning Manager, Security & Research

Intuition Machines
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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À propos

Intuition Machines security products are used at scale by category leaders in every industry. You are probably familiar with our best-known product, the hCaptcha security suite.
Our approach is simple: high agency, small teams, and rapid iteration. AI/ML 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. You will execute roadmaps, iterate on current and new products, and drive team growth while working with research, product, and tech leads.
Engineering Manager roles are hands on and highly technical here: while you won’t be coding every day, you are expected to review code/PRs, 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 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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  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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