Senior ML Applied Scientist

Key Skills

Data science techniques, Design, Effective communication skills

Job Description

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.
• 5+ years of professional experience in ML.
• Ownership of the entire modeling lifecycle - model building, evaluation, and debugging of 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 - 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 and with diverse audiences and experience supporting and mentoring peers.

Nice to Have:

• Excellent grasp of the math required for ML (linear algebra, probability theory, stats, matrix calculus).
• Software engineering/development experience on large-scale distributed systems.

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.