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Coupang

Principal Engineer- Gen AI

Reposted 7 Days Ago
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In-Office
Bengaluru, Karnataka
Expert/Leader
In-Office
Bengaluru, Karnataka
Expert/Leader
Lead the development of AI-driven Post Purchase Experience systems, optimizing fraud detection and labor management platforms. Mentor teams on machine learning and deep learning technologies.
The summary above was generated by 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 Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant 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 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. 

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 a Principal Staff Engineer who is 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. 

Role overview: 

The desired candidate can dive deep into underlying components, design and optimize the stack end-to-end, and be a role model for building high-quality infrastructure and delivering results with grit. Key to this position’s success will require understanding business needs and working backward to develop technical solutions while working effectively with leaders of individual teams and aligning technical directions with critical stakeholders. 

This position will report directly to the engineering VP of Post Purchase Experience and Transportation. It will offer the autonomy to explore various areas and discover the next big innovation that infuses machine learning and deep learning into the search stack. 

Key responsibilities: 

  • Working with Engineering and Product leaders in building the next generation Post Purchase Experience Systems – that directly impact L0 metrics like CPMU, Post Purchase Customer NPS, Perfect returns etc. 
  • Build the next Gen Fraud detection and Labour Force Management platforms that can scale across multiple markets. Work closely Have strong execution with the ability to drive critical developments and overcome technical blockers.  
  • 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. 
  • Mentor and guide team members on frameworks, methodologies related to LLMs, RAGs and their limitations, semantic web, reinforcement learning 

Essential Qualifications: 

  • Education: B.S, M.S or PhD in Computer science, or related field 
  • More than 15 years of working in software engineering and AI/ML Engineering 
  • 2+ years of demonstrated experience in building large scale foundational models, models for eCommerce scenarios. 
  • Experience in Generative AI (e.g., Large Language Models, Multi-Modal, Large Vision Models). 
  • Experience with machine learning algorithms and tools (e.g. TensorFlow, PyTorch), artificial intelligence, deep learning, natural language processing, or other ML discipline. 
  • Understand RAG and its limitations for multi-modal knowledge retrieval. 
  • Experience with inference platforms in AWS, Azure and other open-source platforms. 

Equal Opportunities for All 

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team. 

Top Skills

AWS
Azure
Llm
Ml
Nlp
PyTorch
TensorFlow

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