Coupang is looking to improve its product search and discovery quality by leveraging advanced algorithms to enhance query understanding, product understanding, user understanding, relevance modeling, candidate retrieval, and final stage ranking.
Requirements
- 5+ years of experience in related fields including Search, Information Retrieval, RecSys, ML, DL or NLP.
- Proficient coding skills in Java, C++ or Python
- Experience with handling large data volumes in a distributed environment
- Bonus points for large language models and generative AI
Responsibilities
- Root causes the bottle neck of the current search and recommendation systems and quantifies the defects.
- Propose solutions which address the search and discovery defects and leverage the state-of-the-art technologies, including ML, DL and large language model.
- Implement the solutions and conduct AB tests.
- Be a thought leader and able to gain consensus in the organization when needed.
- Use Deep Learning-based conversion prediction model to predict the conversion rate given a query-item pair.
- Use two tower models for learning query/item embeddings and use ANN for candidate retrieval.
- Use BERT-based model to retrieve products, classify queries and extract entities from queries and products’ titles (Named Entity Recognition)
Other
- Problem solver, Pragmatic and Open-minded
- Bachelors or Master Degree in Computer Science or related fields.
- Love to explore new territory of technology and go deep on domain knowledge.
- Ability to think outside-the-box and challenge conventional wisdoms.
- A passion to explore, improve, automate and optimize distributed systems and tools.
- PhD in Computer Science or related Engineering majors
- Bonus points for experience at ecommerce or social network or search companies
