AI Research Intern: LLMs, Optimization & Prototyping

Alpha Z; United States; Remote; USD 85,000 - 140,000; Full time

Job summary

Alpha Z is seeking a researcher or research engineer to explore how large language models can enhance optimization and operations research tasks. You will investigate LLM-based methods for mathematical modeling, problem formulation, algorithm design, solver selection, and decision-support workflows.

You'll develop and test workflows involving coding with LLMs in the loop, study how LLMs can generate, debug, verify, and improve optimization models and solver code, and design evaluation methods

Qualifications

• Experience in optimization, LLMs, AI agents, or algorithms.
• Ability to translate business problems into mathematical models.
• Strong research ability and technical depth in related fields.

Responsibilities

• Conduct research on how LLMs support optimization and OR tasks.
• Explore LLM-based methods for modeling, formulation, and solver selection.
• Develop workflows involving coding with LLMs in the loop.
• Study generation, debugging, verification, and improvement of models and code.
• Design benchmarks for LLM-generated formulations and solutions.
• Implement research prototypes and computational experiments.
• Analyze failures and improve model reliability and usefulness.

Skills

Optimization

LLMs

AI agents

Algorithms

Machine learning

Communication

Education

Bachelor's/Master's/PhD students welcome

Tools

Gurobi

CPLEX

SCIP

OR-Tools

Job description

Alpha Z is seeking a researcher or research engineer to explore how large language models can enhance optimization and operations research tasks. You will investigate LLM-based methods for mathematical modeling, problem formulation, algorithm design, solver selection, and decision-support workflows.

You'll develop and test workflows involving coding with LLMs in the loop, study how LLMs can generate, debug, verify, and improve optimization models and solver code, and design evaluation methods