Senior ML Applied Scientist

Intuition Machines, Inc. (Headquarters: Remote)

ML Applied Scientist Real-time ML Online Learning Python Security hCaptcha Categorical Data Structured Data Distributed Systems Mentorship AI Engineer Data Science

Intuition Machines uses AI/ML to build enterprise security products like hCaptcha, serving hundreds of millions of users daily. We operate with low overhead, small teams, and rapid iteration.

We are seeking an experienced ML Applied Scientist (5+ years) to design, build, and scale ML models under strict memory and compute constraints, adapting to continuous adversarial drifts. You will mentor engineers, translate business needs into technical solutions, and contribute to our technical roadmap in a low-overhead, fast-paced environment.

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.
* Participate in code reviews and architecture & design sessions. Stay updated on recent technological developments.
* Provide technical input to the research roadmap.

What we are looking for:
* Thoughtful, conscientious, and self-directed.
* 5+ years of professional experience in 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 or foreign equivalent in a technical or related field, or equivalent job experience.
* Excellent communication, listening, and presentation skills.

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 work into our infrastructure (observability, deployment, quality, 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.