ML Research Engineer

Who we are:

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.

If you enjoy working at scale on both architecture and data, engineering our backend systems may be your ideal job. Our approach is simple: light specs, 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 to technical specifications.
• Understand how to build ML models that satisfy constraints of memory and compute, how to evaluate models properly, and how to debug them.
• Technically mentor other ML research engineers.
• Iterate fast. We ship early and often, but our first customer of a new product or feature may be deploying it to 500 million people.
• Focus on clearly structured, maintainable, well-documented, and tested code, including unit, integration, and end-to-end tests.
• Work with ML engineers to integrate your work with our infrastructure including automating observability, deployment, quality, and security.
• Participate in code reviews, take part in architecture & design sessions, proactively watch for recent developments in relevant technologies and assess their applicability.

What we are looking for:

• Thoughtful, conscientious, and self-directed people.
• 4-10 years of professional experience building, evaluating, and debugging large ML models.
• Experience with large scale categorical and structured data
• Experience with real-time ML models, incremental learning, and online learning
• Good understanding of the fundamentals of ML
• 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 and with diverse audiences and experience supporting and mentoring peers.

Nice to Have:

• College-level mathematical knowledge (linear algebra, probability theory, stats, matrix calculus).
• Practical experience applying ML concepts such as optimization, classification, regression, generalization.

What we offer:

• Fully remote position with flexible working hours #Li-remote.
• 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 are committed to building an inclusive and diverse global workforce. We believe that the best way to learn, grow, and succeed, both as individuals and as a company, is to foster a culture that is fundamentally rooted in equality.

Join us as we transform cyber security, user privacy, and machine learning online!