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Staff AI/ML Engineer

2 months ago

Seattle, Washington, United States Coupang Full time
About Coupang

Coupang is a leading e-commerce company that is revolutionizing the way people shop, eat, and live. Our mission is to build the future of commerce by providing the best possible experience for our customers.

Job Overview

We are seeking a highly skilled Staff AI/ML Engineer to join our AI and Knowledge Engineering team. As a key member of our team, you will be responsible for designing and developing large-scale AI and ML systems that provide the best possible technical solution to achieve the optimal experience for our customers.

Key Responsibilities
  • Design and develop large-scale inference, recommendation, and interactive agents' systems that are self-learning
  • Develop and customize/tune deep learning generative models, deep learning models for multi-modal 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
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
  • Are result-oriented, with a bias towards customer obsession, flexibility, and impact
  • 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
Benefits
  • Medical/Dental/Vision/Life, AD&D insurance
  • Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
  • Long-term/Short-term Disability
  • Employee Assistance Program (EAP) program
  • 401K Plan with Company Match
  • 18-21 days of Paid Time Off (PTO) a year based on the tenure
  • 12 Public Holidays
  • Paid Parental leave
  • Pre-tax commuter benefits
  • MTV - [Free] Electric Car Charging Station