AI Research Scientist Intern

Job Description

• Conduct research on how large language models can support optimization and operations research tasks

• Explore LLM-based methods for mathematical modeling, problem formulation, algorithm design, solver selection, and decision-support workflows

• 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

• Design evaluation methods and benchmarks for LLM-generated optimization formulations, code, and solutions

• Implement research prototypes and computational experiments

• Analyze failure cases and improve model reliability, correctness, and usefulness

Job Requirements

• Candidates pursuing a PhD, Master's degree, or Bachelor's degree in relevant fields are welcomed

• Demonstrated research ability, strong technical depth, and experience in optimization, LLMs, AI agents, algorithms, or machine learning are highly valued

• Ability to work independently in a fast-paced startup environment with evolving priorities

• Excellent communication skills for discussing technical concepts with cross-functional teammates

Technical expertise Optimization & Modeling

• Experience with LP, MIP, NLP, or constraint programming

• Ability to translate business problems into mathematical models (variables, objectives, constraints)

• Familiarity with solvers like Gurobi, CPLEX, SCIP, or OR-Tools

• Understanding of solver behavior, computational bottlenecks, and model debugging

• Experience with practical problems such as routing, scheduling, or resource allocation

Engineering & AI

• Expertise in code structure, testing, logging, and building reproducible experiment pipelines

• Ability to integrate AI components with external tools, APIs, and enterprise systems

• Strong judgment on system performance, scalability, and failure handling

• Knowledge of LLM workflows (prompting, retrieval, agents), machine learning evaluation, and structured code generation