Full-Time

Staff Machine Learning Engineer

Posted on 5/22/2024

Coupang

Coupang

5,001-10,000 employees

E-commerce platform with advanced logistics technology

Consumer Goods

Expert

Seattle, WA, USA

Required Skills
Microsoft Azure
Python
Tensorflow
Pytorch
BigQuery
Apache Spark
AWS
Natural Language Processing (NLP)
Requirements
  • Overall 10+ years of working in software engineering and AI/ML Engineering
  • 3+ years of demonstrated experience in building large scale foundational models, models for eCommerce scenarios
  • Expertise in large language model fine-tuning and deployment
  • Deep background in transformer architectures
  • Understand RAG and its limitations for multi-modal knowledge retrieval
  • Proficiency in Python, PyTorch/TensorFlow, Spark, BigQuery
  • Experience with inference platforms in AWS, Azure and other open-source platforms
  • Strong written and verbal communication and teamwork skills
  • Passion for Large language models, NLP, and Machine Learning at scale
  • Education: B.S, M.S or PhD in Computer science, or related field
Responsibilities
  • 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

Coupang's main product leverages advanced e-commerce and logistics technologies to enhance the shopping and dining experience, with a focus on customer convenience. The company is dedicated to simplifying daily life through innovative technology solutions.

Company Stage

Series C

Total Funding

$3.4B

Headquarters

Songpa-gu, South Korea

Founded

2010

Growth & Insights
Headcount

6 month growth

11%

1 year growth

21%

2 year growth

36%