Senior​/Lead ML Applied Scientist

Intuition Machines uses AI/ML to build enterprise security products. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.

What you will do

Build ML models that can scale to millions of requests per second while maintaining performance

Translate business requirements into technical specifications

Develop ML models that satisfy memory and compute constraints, evaluate them properly, and debug effectively

Provide technical mentorship to other ML research engineers

Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users

Write clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests

Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments and assess their applicability

Provide technical input to the research roadmap

What we are looking for

5+ years of professional experience in applied ML

Proven experience with the entire modeling lifecycle: building, evaluating, and debugging large ML models

Experience with large-scale categorical and structured data

Expertise in real-time ML models, incremental learning, and online learning

Strong understanding of ML fundamentals: bias-variance tradeoffs, loss functions, evaluation metrics, etc

Bachelor's degree in a technical field (or equivalent practical experience)

Thoughtful, self-directed individual who is comfortable making technical decisions independently

Nice to Have

Strong grasp of the math required for ML (linear algebra, probability theory, statistics, matrix calculus)

Software engineering/development experience with large-scale distributed systems

Ability to collaborate with ML engineers to integrate your work into our infrastructure, including automating observability, deployment, quality, and security

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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