We have one goal: applying cutting edge AI/ML to real world problems. Our best-known product suite is hCaptcha, which is used by top online services to protect hundreds of millions of people. We help some of the world's largest companies build and scale AI/ML solutions to address their business problems, with a focus on fraud and abuse. Each of our products comes from our ongoing research in AI/ML, with teams spanning many focus areas.
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Machine intelligence at scale.
Full company description
We have one goal: applying cutting edge AI/ML to real world problems.
Our best-known product suite is hCaptcha, which is used by top online services to protect hundreds of millions of people.
We help some of the world's largest companies build and scale AI/ML solutions to address their business problems, with a focus on fraud and abuse. Each of our products comes from our ongoing research in AI/ML, with teams spanning many focus areas.
LinkedIn followers
9,130
People associated on LinkedIn
101
Business categories
Education
Software
Internet
Internet of Things
Machine Learning
Other recorded names
Intuition Machines, Inc.
Intuition Machines
Specialties
machine learning
AI
and cyber security
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
Research Services
Size
51-200 employees
Headquarters
San Francisco
Organization type
Privately Held
Year founded
2017
Specialties
machine learningAIand cyber security
Intuition Machines, Inc. has 5 open jobs in Canada as of November 6, 2026. Top locations: Montréal.
5+ YOECandidates need five or more years in technical or product marketing, developer advocacy or solutions engineering in B2B technology, plus five or more years in an engineering role. Strong skills in demos, technical documentation and developer content are required.
5+ YOEIntuition Machines needs candidates with 5+ years of applied ML experience, including building, evaluating and debugging large models and working with large-scale categorical and structured data. Real-time, incremental and online learning expertise and a technical bachelor's degree or equivalent practical experience are also required.
ML, Research, Architectural design, Debugging, Probability theory, Statistics
Candidates need a strong ML, data science or engineering background with production ML experience, plus engineering management or tech lead experience. They also need skills in Python, ML pipelines, distributed systems and high-availability systems.
8+ YOE2+ MgmtCandidates need 8+ years of software engineering experience and 2+ years leading engineering teams. They need strong Typescript or Python skills, experience with distributed systems at scale, and familiarity with Kubernetes and Docker.
Candidates need public evidence of good self-directed research, such as prior publications or interesting past work. They must be able to read and own every line of code they submit, since coding agents are used but reliability is critical.