AI Engineer at Mathpresso

At Qanda, we believe that high-quality education should be accessible to every student across the globe. Our AI Research Chapter is at the heart of this mission, where we transform vast amounts of data into meaningful learning experiences. With over 90 million users and more than 500,000 questions processed daily, we have built a massive repository of educational insights. Our team is dedicated to designing AI modules that understand and solve student inquiries, ranging from identifying problem types to creating personalized learning paths. Recently, we have been at the forefront of innovation by developing an AI Tutor powered by Large Language Models and collaborating on specialized LLMs for complex mathematics. We are looking for passionate individuals who are eager to turn raw data into real-world educational value.

The opportunity

We are seeking a Senior AI Engineer to join our team on a full-time basis at our on-site office in Seoul. In this role, you will be responsible for the entire lifecycle of our AI models, from testing initial hypotheses using public models to collecting data and training our own proprietary systems. You will work across diverse domains including NLP, computer vision, and statistics to push the boundaries of what our educational platform can achieve. As we expand our focus toward LLMs and new modalities in education, you will play a pivotal role in shaping the future of our technology stack.

A day in the life

• Research and develop advanced modules for solving mathematical problems using Prompt Engineering techniques.
• Manage the end-to-end serving and optimization of our machine learning models to ensure high performance.
• Collaborate with the research team to refine our AI infrastructure and integrate cutting-edge models into our core product.

Who you are

You are a seasoned professional with a deep interest in machine learning and a drive for continuous growth. To be successful in this role, you should possess the following qualifications:

• Proven 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.
• Fluency in both English and Korean.
• A proactive mindset that embraces new challenges and constant learning.

While not required, we would be especially excited if you have experience with LLM project design, advanced proficiency in ML frameworks, experience deploying and operating ML services, or familiarity with Docker and Kubernetes.

Why you'll love it here

Joining our team means working in a dynamic environment where your contributions directly impact millions of students. Our hiring process consists of a document review followed by interviews, with potential for a technical assignment depending on the specific needs of the role. You will be based at our office in Gangnam-gu, Seoul, working as a permanent employee. We value transparency and growth, and we look forward to seeing how your unique experience can help us build the next generation of educational tools.