Machine Learning Applied Scientist - Remote

Overview

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.

In Short

• 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.

Requirements

• 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 from an accredited college or university, or equivalent job experience.
• Excellent communication, listening, and presentation skills to engage with diverse audiences and support and mentor peers.

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.

Benefits

• 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.