1 year ago
Beijing, ChinaStaff+
Responsibilities
- Work on generative AI and self-learning systems for complex eCommerce scenarios.
- Develop statistical, predictive, and compound AI models.
- Train foundational models for learning systems.
- Define processes and experiments for an end-to-end foundation model.
- Build end-to-end AI pipelines for storing and serving foundational models.
- Mentor and guide team members on data lakes, data normalization, dimension reduction, visualization, and statistical modeling frameworks and methodologies.
- Ensure model training is security- and compliance-aware.
- Collaborate across teams to align foundational models and captured knowledge with the company’s AI strategy.
Requirements
- 10+ years of experience in software engineering and AI/ML engineering.
- 4+ years of data science experience building large-scale foundational models for eCommerce scenarios.
- Expertise in large language model fine-tuning and deployment.
- Deep understanding of AI/ML, deep learning, and statistical model architectures.
- 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.
- Experience creating complex data visualization tools, frameworks, and techniques.
- Experience with dimension 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.
- Bachelor’s or master’s degree in computer science, mathematics, or a related field.
- Strong written and verbal communication, teamwork skills, flexibility, and customer focus.
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).