Research Engineer - Optimization & Machine Learning

Smack Technologies Inc. is building domain-specific models to deliver AI-enabled decision-making for modern warfare and support the Department of War, allies, and partners. The Research Engineer will investigate decision-making under uncertainty, translate mathematical models into production-quality code, evaluate methods from the literature, and maintain existing models across optimization and machine learning applications.

Responsibilities:

• Participate in scientific investigations end to end: form a hypothesis, run the investigation, return a report, and develop prototypes based on the investigation as applicable
• Translate math to code: a scientist drafts a model, you meet on it, and you produce a working implementation for evaluation, quickly and cleanly enough that a colleague could pick it up
• Assess methods from literature: inputs, outputs, compute requirements, and fit against our constraints
• Understand, maintain, and update installations of previously built models