Senior ML Applied Scientist — Real-Time, Scalable Security

Intuition Machines, Inc.; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Intuition Machines, Inc. is seeking an ML Applied Scientist to design, implement, and scale machine learning systems powering our products.

You will translate business goals into technical specifications and ensure models perform under real-world constraints in a fast-paced production environment. You will work across teams to scale ML models for millions of requests per second, provide mentorship to ML engineers, and contribute to the research roadmap while shipping reliable, well-tested code.

Qualifications

• 5+ years of professional experience in applied ML.
• 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 in a technical field (or equivalent practical experience).
• Thoughtful, self-directed individual who is comfortable making technical decisions independently.

Responsibilities

• 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.

Skills

Applied ML

Modeling lifecycle

Large-scale data

Online learning

ML fundamentals

Independent work

Education

Bachelor’s degree in a technical field

Job description

Intuition Machines, Inc. is seeking an ML Applied Scientist to design, implement, and scale machine learning systems powering our products.

You will translate business goals into technical specifications and ensure models perform under real-world constraints in a fast-paced production environment. You will work across teams to scale ML models for millions of requests per second, provide mentorship to ML engineers, and contribute to the research roadmap while shipping reliable, well-tested code.