Position Overview

As a Research Engineer at QueryLift, you will conduct research and development on GEO (Generative Engine Optimization) technologies and LLM (large language model) response analysis. You will play an important role in establishing QueryLift's technical advantage through both academic research and practical application.

Key Responsibilities

Research and develop GEO technologies
Develop algorithms for LLM response analysis
Research methods for detecting cognitive attacks and data poisoning
Write and present academic papers
Evaluate and file patent applications
Transfer research outcomes to the engineering team

Requirements

Graduate-level research experience at the master's level or above
Research experience in machine learning or natural language processing
Experience using Python for research and development
Experience reading and writing academic papers
Experience analyzing and visualizing research data
Ability to read and write academic papers in English

Preferred Qualifications

A PhD or current enrollment in a doctoral program
Experience submitting papers to top conferences such as ACL, EMNLP, or ICLR
Research experience in LLMs or generative AI
Research experience in security or privacy
Experience contributing to open-source projects

Ideal Candidate

Strongly research-oriented and proactive in exploring new technologies
Aims to balance academic research with practical application
Values teamwork and can apply research outcomes to products
Motivated to participate in the international research community

Tech Stack

Python