ML Research Engineer(NLP)
Job Description
Dunamu is seeking an ML Research Engineer specializing in NLP to join their innovative team developing AI models for stock and digital asset markets. This role offers a unique opportunity to work on cutting-edge machine learning applications in the financial sector.
The position involves designing and implementing sophisticated NLP solutions, including LLM/SLM models and RAG pipelines. You'll be responsible for the entire ML pipeline, from data collection and preprocessing to model training and performance optimization. The team maintains a strong learning culture with weekly paper study sessions and encourages independent project leadership.
As an ideal candidate, you should have 3-9 years of experience in machine learning, with strong Python skills and practical experience with major deep learning frameworks like PyTorch and TensorFlow. You'll be working in a fast-growing team where you can make significant contributions to innovative financial services powered by machine learning.
The role is based in Seoul, South Korea, at Dunamu's office in Seocho-gu. The company offers a collaborative environment where you can drive innovation in financial technology through advanced machine learning applications. This is an excellent opportunity for someone passionate about applying cutting-edge NLP research to real-world financial applications.
The position includes regular opportunities to stay current with the latest technological developments through team study sessions, and you'll have the autonomy to propose and lead projects. The company values technical expertise and provides a platform for professional growth in the intersection of AI and finance.
Responsibilities For ML Research Engineer(NLP)
- Design, train and tune LLM/SLM and NLP models
- Build Retrieval Augmented Generation (RAG) pipelines
- Set up and measure metrics to evaluate model performance
- Design pipelines for data collection, preprocessing, and augmentation to improve NLP model performance
Requirements For ML Research Engineer(NLP)
- 3-9 years of practical experience or equivalent capability
- Python development skills
- Understanding of machine learning/deep learning and related project experience
- Experience in model development using deep learning frameworks like PyTorch, TensorFlow
- Ability to understand and implement latest ML papers
Benefits For ML Research Engineer(NLP)
- Regular paper study sessions to quickly learn and discuss latest technologies
- Opportunity to understand and experience end-to-end ML-based service development
- Ability to lead projects and conduct research/development independently
