Twigfarm Artificial Intelligence Researcher
Twigfarm artificial intelligence researchers understand the various communication difficulties people face and think about ways to solve problems with AI technology.
We research digital communication technology based on our knowledge of AI. In particular, by improving LETR, Twig Farm's language processing engine, it solves technical difficulties to provide it as an actual product.
It plays a leading role in the development of Twigfarm's next-generation AI technology. Results from research activities can be applied to actual Twig Farm services and presented as papers to academic conferences.
We are looking for someone to create the future of human communication by conceiving and realizing various ideas with colleagues at Twig Farm.
Introducing Twig Farm's 'Language Processing Engine, LETR'
LETR conducts various studies to understand content in different languages and share it with each other.
We are researching translators, verifiers, and refiners based on neural networks and applying them to commercial services, and are also carrying out challenging research to surpass existing research with leading domestic and international institutions.
High-quality learning data is essential for neural network research, and Twigfarm is building its own data for learning. In fact, in 2021 alone, we also built learning data consisting of 10 million sentences.
Research was carried out based on this, and the research results were Gcon Studio, an actual service of Twigfarm (gconstudio.com) and Haverney (heybunny.ioWe are creating meaningful results by applying it to).
Even now, LETR is developing into an unrivaled language processing engine centered on Asian languages.
Main responsibilities
ㆍMultimodal-based machine translator research
ㆍModel research for evaluating machine translator performance
ㆍModel and script research for original text refinement and translation verification
ㆍBuilding OCR learning data and improving the OCR engine
ㆍResearch on a recommendation system for Haverney users, a newsletter app
ㆍCreation of data for translator training
place of work
ㆍTwig Farm Headquarters (6th floor, Jongno 6-6, Jongno, Seoul)
Eligibility_Required
ㆍPeople who can participate in Twig Farm's culture and mission
ㆍA person who can communicate smoothly and actively with colleagues in various job groups
ㆍThose who can submit a portfolio or career description
ㆍPeople who are understanding the latest recommended technology trends related to NLP
ㆍThose who can quickly and accurately understand and implement papers
ㆍThose who are proficient in using Python
ㆍThose who have obtained a bachelor's degree or higher
Eligibility_Preferential treatment
ㆍThose who have work experience in large data processing environments
ㆍThose who have completed a language-related major or have an understanding or experience in languages
ㆍPeople who have experience with open source projects
ㆍThose who have an understanding of AWS's serverless environment and DevOps
Screening process
ㆍFirst document evaluation
ㆍSecond practical interview evaluation
ㆍ3rd executive interview evaluation
*The selection process is subject to change depending on circumstances.
How to apply
ㆍjointwigfarm@twigfarm.netSubmit your resume and portfolio to
ㆍIndicate the application field and name in the subject line of the email (Artificial Intelligence Research Institute - OOO)
submission period
ㆍRegular recruitment (application results and next schedule will be announced individually)
