LLM Research Engineer - Combinatorial Optimization

Singapore Management University; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading academic institution in Singapore seeks a research candidate to focus on LLM-based solutions for combinatorial optimization. Successful applicants will develop and implement algorithms, collect real-world data for benchmarking, and produce publications. A Master's degree in Computer Science or related field, research experience in LLM, and proficiency in Python are required. Join an agile team that values innovation, cooperation, and independent work.

Qualifications

• Minimum Master's degree in Computer Science or related field with a focus on AI.
• Minimum 1 year of research experience in prompting or fine-tuning LLM.
• Proficiency in programming languages such as Python.

Responsibilities

• Develop algorithms for combinatorial optimization problems.
• Implement traditional optimization algorithms.
• Collect datasets and test algorithms for benchmarking.
• Write papers for publication.

Skills

Python

Combinatorial optimization

PyTorch

Research publications

Problem-solving

Education

Master's degree in Computer Science or closely related disciplines

Job description

A leading academic institution in Singapore seeks a research candidate to focus on LLM-based solutions for combinatorial optimization. Successful applicants will develop and implement algorithms, collect real-world data for benchmarking, and produce publications. A Master's degree in Computer Science or related field, research experience in LLM, and proficiency in Python are required. Join an agile team that values innovation, cooperation, and independent work.