Remote Senior ML Applied Scientist - Real-Time, Scalable AI

Embedded Shishya; United States; Remote; USD 130,000 - 210,000; Full time

Benefits offered by this job

Fully remote position

Flexible working hours

Job summary

Intuition Machines is seeking an experienced ML Applied Scientist to design, implement, and scale machine learning systems powering our security products. You will work across teams to translate business goals into technical specifications, ensuring models perform efficiently under real-world constraints.

Using AI techniques, you will contribute to research, engineering, and mentorship in a fast-paced production environment, with an emphasis on reliability, testability, and deployment at scale.

Qualifications

• 5+ years of professional experience in applied 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 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

Real-time ML

Large-scale data

Distributed systems

Education

Bachelor’s degree in a technical field

Job description

Intuition Machines is seeking an experienced ML Applied Scientist to design, implement, and scale machine learning systems powering our security products. You will work across teams to translate business goals into technical specifications, ensuring models perform efficiently under real-world constraints.

Using AI techniques, you will contribute to research, engineering, and mentorship in a fast-paced production environment, with an emphasis on reliability, testability, and deployment at scale.