Coupang
E-commerce
SeniorStaffRankingEngineer,Personalization
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Staff Ranking Engineer, Personalization at Coupang. Skills: Machine learning, ML platforms, Ranking, Recommendation systems. Design features for ML models and systems. Build ML models and systems”
Industry & Context.
Problem solver
What They're Looking For.
Must Have
Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields, 7+ years of professional experience in applied machine learning, Experience in machine learning, deep learning, and statistical modeling, Proficiency in Python and/or Java, Experience in building production grade ML systems
Nice to Have
Master’s or PhD in relevant technical fields, Experience with search systems, information retrieval or recommendation engines, Experience with LLMs, embeddings, and vector search technologies, Experience with cloud platforms such as AWS, Google Cloud Platform, Experience with services like Vertex AI, BigQuery or SageMaker, Experience working in startup or high-growth environments, Proven ability to lead-cross-functional teams, Deliver results in a multicultural, global organization, Hands-on experience with modern ML frameworks, Experience with ML lifecycle tools, Excellent communication skills, Ability to explain complex technical concepts, Demonstrated ability to work independently, Manage ambiguity in fast-paced environments
What You'll Do.
Design features for ML models and systems
Build ML models and systems
Design ML systems for search ranking
Design ML systems for semantic retrieval
Design ML systems for query understanding
Design ML systems for personalized product discovery
Use transformer-based models
Use contrastive learning
Drive innovation in search relevance
Drive innovation in user intent modeling
Use large language models
Use embedding-based retrieval
Use multi-modal learning
Optimize ML pipelines
Ensure reproducibility
Ensure operational excellence
Define key performance metrics
Track key performance metrics
Evaluate model impact
Identify high-leverage opportunities
Collaborate cross-functionally
Align technical solutions with business goals
Align technical solutions with customer experience
Mentor engineering talent
Grow engineering talent
Foster technical excellence
Foster experimentation
Foster continuous learning
How You'll Work.
Team & Collaboration
Cross-functionally with product, engineering, and data science teams
Communication Scope
Explain complex technical concepts
Full Job Description
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. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Role Overview The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation. This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easi
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