AI Engineer
On-site
Full Time
#Engineering
#PyTorch
#TensorFlow
#Framework
#Machine Learning
#LLM
#Docker
#Kubernetes
QANDA was founded by four university students who personally experienced the educational divide caused by regional and socioeconomic disparities. Our mission is to use technology to ensure equal access to education for everyone. We have grown into a comprehensive global education platform, with our flagship app helping over 90 million registered users and serving more than 8 million students every month. Beyond our core app, which provides instant solutions and connects students with top-tier tutors, we have expanded into tablet-based tutoring and live classes. We are currently pushing the boundaries of educational technology by developing an AI Tutor powered by Large Language Models to support students in every aspect of their learning journey.
About the Role
We are looking for a Senior AI Engineer to join our team on a full-time basis. In this role, you will be part of our AI Research Chapter, where we design and build intelligent modules to analyze student questions and provide effective solutions. You will work on everything from basic problem-type classification to advanced modeling for personalized learning experiences. As a core member of our research team, you will leverage our vast repository of student data to train and refine AI models, with a specific focus on expanding our capabilities in the LLM space.
Key Responsibilities
- Conduct research and development for math problem-solving modules using Prompt Engineering.
- Manage the end-to-end serving and optimization of machine learning models.
- Collaborate with our team to apply AI technologies to real-world educational challenges using our extensive dataset.
Requirements
To be successful in this role, you should have a strong technical foundation and a passion for continuous growth. We require the following qualifications:
- Professional experience with at least one major ML Framework, such as PyTorch or TensorFlow.
- A Master’s degree in a machine learning-related field or equivalent professional experience.
- A proactive mindset and a desire to tackle new challenges in a fast-paced environment.
While not mandatory, we highly value candidates who have experience with LLM projects, operational experience in deploying ML services, or technical proficiency with Docker and Kubernetes.
Location
This position is based at our office located at 17th Floor, 428 Seolleung-ro, Gangnam-gu, Seoul (WeWork Seolleung Branch 3).
Compensation and Benefits
We offer a full-time employment contract, which includes a three-month probationary period. Our hiring process consists of a document review followed by interviews, with the possibility of a technical assignment or additional interviews depending on the specific needs of the role. Please ensure your resume is submitted in PDF format and feel free to include a link to your GitHub profile.
