Staff Engineer- Gen AI

We exist to wow our customers. We know we re doing the right thing when we hear our customers say, How did we ever live without CoupangBorn out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

At Coupang, we invest in providing the best product experience for our customers. The Global Operations Technology team s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate in supply chain, post purchase and fraud detection systems by leveraging the capabilities of AI, ML and NLP. We are looking for engineers who are passionate about customer experience and want to work on cutting edge technology, that is the intersection of NLP, LLM, ML and software engineering at scale.

• Architect and design large scale inference, recommendation and interactive agents system that are self-learning
• Design/architect/work on large language model-based agent systems
• Develop and customize/tune deep learning generative models, deep learning models for multi-modal for eCommerce customer scenarios
• Train foundational models that can help with building learning systems
• Define process and experiments for an E2E foundation model
• Refine agent and model training using RAG
• Build E2E AI pipelines for storing/servicing foundational models
• Mentor and guide team members on frameworks, methodologies related to LLMs, RAGs and their limitations, semantic web, reinforcement learning
• Ensure Model training is security, compliance aware
• Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company s overall AI strategy

Basic

Preferred Qualifications

• Experience with inference platforms in AWS, Azure and other open-source platforms.
• Strong written and verbal communication and teamwork skills
• Hands on experience with Large language models, NLP, and Machine Learning at scale

Our Hybrid work model: Coupang hybrid work model is designed to enable a culture of collaboration that acts a catalyst to enrich the experience of employees. Employees are required to work at least 3 days in the office per week, with the flexibility to work from home 2 days a week, depending on the role requirement. Some businesses may require more time in office due to nature of work.

Details to consider

• Those eligible for employment protection (recipients of veteran s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

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