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. 

The SDPE (Search and Discovery Product Engineering) ML group is Coupang’s advanced machine learning team. It keeps Coupang at the forefront of machine learning technology across multiple application areas including content understanding, recommendation, ranking and more. It is a high impact applied team that works on directly bringing that technology to the product in collaboration with product engineering teams. The main contribution of the team’s work is to drive top line metrics for wowing our customers and thriving Coupang business. 

What You Will Do 

• Drive end-to-end Computer Vision and Machine learning methods that have a high degree of ambiguity, scale and complexity 
• Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production. 
• Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving. 
• Run A/B experiments, gather data, and perform statistical analysis to develop insights that drive product requirements. 
• Research new and innovative Computer Vision approaches that can have direct impact to Coupang business. 
• Present results and explain methods to the leadership. 
• Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company. 

Basic Qualifications 

• 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products  
• Extensive knowledge in deep learning and computer vision techniques. 
• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc. 
• Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow. Successful candidates in this role need to be able to build bridge state of the art approaches to real world impact. 
• Proficient coding skills in Java, C++ or Python 
• Masters or PhD in Comp Sci or related fields 

Preferred Qualifications 

• Experience in working on, backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work. 
• Experience in closely collaborating with other engineering teams to ship new ML technologies to improve recommendation, content understanding, and ranking systems at scale. 
• The ideal candidate will possess the self-motivation, curiosity, creativity and initiative to achieve goals. 

• 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

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