Senior Staff Ranking Engineer (Search)

Key Skills

Aartificial intelligence, C++, Deep Learning, Generative AI, Java Programming, Large Language Models - LLMs, Leadership Skill, Machine learning techniques, Natural Language Processing (NLP), Python Programming

Job Description

As a senior staff ranking engineer in Search and Discovery, you will leverage the most advanced algorithms to improve Coupang’s product search and discovery quality, including query understanding, product understanding, relevance modeling, candidate retrieval, and final stage ranking. You are expected to be a leading expert in one or multiple areas including information retrieval, recommendation systems, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects. 

What You Will Do

• Root causes the bottle neck of the current search and recommendation systems and quantifies the defects.
• Propose solutions which address the search and discovery defects and leverage the state-of-the-art technologies, including ML, DL and large language model. 
• Implement the solutions and conduct AB tests. 
• Be a thought leader and able to gain consensus in the organization when needed. 

 Some example projects include: 

• We use Deep Learning-based conversion prediction model to predict the conversion rate given a query-item pair. Personalization is an important component for conversion prediction. 

• We use two tower models for learning query/item embeddings and use ANN for candidate retrieval. 

• We use BERT-based model to retrieve products, classify queries and extract entities from queries and products’ titles (Named Entity Recognition) 

• We use neural networks to evaluate the relevance of query-item pairs and train such models with millions of human labeled datasets. 

• We use graph algorithms to explore the latent relationships between queries and documents. 

Basic Qualifications

• 10+ years of experience in related fields including Search, Information Retrieval, RecSys, ML, DL or NLP. 
• Proficient coding skills in Java, C++ or Python 
• Problem solver, Pragmatic and Open-minded 
• Master Degree in Computer Science or related fields. 
• Experience with handling large data volumes in a distributed environment

Preferred Qualifications

• Love to explore new territory of technology and go deep on domain knowledge.
• Ability to think outside-the-box and challenge conventional wisdoms.
• A passion to explore, improve, automate and optimize distributed systems and tools.
• PhD in Computer Science or related Engineering majors
• Bonus points for experience at ecommerce or social network or search companies 
• Bonus points for large language models and generative AI 

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.