Senior Staff Machine Learning Engineer (AI Knowledge Graph)

*note, role is flexible to Level of Staff or Senior Staff and Location of Seattle or Mountain View.

At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, LLMs, AI, ML, NLP, and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, NLP, LLM, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

THE ROLE/RESPONSIBILITIES:

· Architect and design the Knowledge Systems suitable for self-supervised learning.

· Design and deliver/train a language model that understands information organization for the knowledge graph that is semantic aware.

· Develop custom algorithms and techniques to enhance data integration, entity resolution and knowledge inference in a graph.

· Define process and experiments for an E2E foundation model.

· Tune Reinforcement Learning models for Knowledge Graph interaction and retrieval.

· Build E2E AI pipelines for knowledge/sematic information capturing/storing/servicing from large data sets.

· Mentor and guide team members on frameworks, methodologies related to knowledge graph, semantic web, large scale graph databases, reinforcement learning, ontology, and other foundational models.

· Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company’s overall AI strategy.

WHAT YOU WILL BRING/ REQUIREMENTS:

· Overall 10+ years of working in software engineering and AI/ML Engineering.

· 5+ years of demonstrated experience in building large scale knowledge graph at scale.

· Deep background in applied LLMs like Claude, Knowledge Graph and Graph Neural Networks

· Experience with ontology, and sematic web technologies [ RDF/OWL/SPARQL/ontologies]

· 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

Pay & Benefits 

Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. 

The base pay for this position ranges from $159,000/year in our lowest geographic market to $324,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. 

General Description of All 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 the 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 

General Description of Other Compensation     

 “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.   

Job ID: R0047002 

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physica