1 day ago
Singapore, SingaporeStaff+
Responsibilities
- Develop GenAI and AI agent systems for complex eCommerce scenarios.
- Develop large language and vision understanding and generation models for predictive and compound AI models.
- Train foundational models and define experiments and processes for end-to-end foundation models.
- Build end-to-end AI pipelines for storing and serving foundational models.
- Mentor and guide team members on data lakes, data normalization, dimensionality reduction, visualization, and statistical modeling frameworks and methodologies.
- Ensure model training is security- and compliance-aware.
- Collaborate with cross-functional teams to align foundational models and captured knowledge with the company’s AI strategy.
Requirements
- 5+ years of demonstrated data science experience building large-scale foundational models for eCommerce scenarios.
- Expertise in large language model post-training and deployment.
- Deep understanding of AI, LLM, AIGC, and machine learning architecture.
- Strong statistical and mathematical background in defining metrics, learning functions, and analyzing results.
- Significant experience with SQL, Python, PySpark, Scala, and R.
- Proficiency with PyTorch or TensorFlow, Spark, and BigQuery.
- Proficiency with Cursor, Windsurf, Claude Code, or Codex for AI coding.
- Experience creating complex data visualization tools, frameworks, and techniques.
- Experience with dimensionality reduction in big data.
- Proficiency with cloud analytical stacks, including data lakes, warehouses, and ETL pipelines.
- Experience with inference platforms in AWS, Azure, and other open-source platforms.
- Strong written and verbal communication, teamwork, flexibility, customer focus, and results orientation.
- Passion for large language models, NLP, and machine learning at scale.
- B.S. or M.S. in computer science, mathematics, or a related field.
Categories
AI ResearchML Engineering
About Coupang
Coupang builds and operates a South Korea–focused e-commerce marketplace with an end-to-end logistics network (Rocket Delivery), plus food delivery, video streaming, and fintech under brands such as Coupang, Eats, and Play. Revenue comes from first-party retail, third-party marketplace services, advertising, and memberships (Rocket WOW). Founded in 2010, the company is headquartered in Seattle and is publicly listed on the NYSE (CPNG).