Senior/Lead ML Applied Scientist

12 ago - Italia
Intuition Machines

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.
As an ML Applied Scientist, you will design, implement, and scale machine learning systems that power our products. You’ll work across teams to translate business goals into technical specifications, ensuring our models perform efficiently under real-world constraints. This role combines research, engineering, and mentorship in a fast-paced production environment.

Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it,



and it will be reviewed by both people and machines.

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 experienc

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