Coupang Ads Technology (Ads Tech) is looking to innovate and build a new ad quality stack for their advertising platform, with the goal of eventually extending it into a full ad exchange, DSP, and SSP to address large-scale advertising problems like real-time behavioral targeting, auctioning and bidding systems, and search-based advertising.
Requirements
- Experience in machine learning, deep learning, and statistical modeling
- Proficiency in Python and/or Java, with experience in building production grade ML Systems
- 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 including services like Vertex AI, BigQuery or SageMaker
- Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai
- Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
Responsibilities
- Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning and vector search
- Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
- Define and track key performance metrics to evaluate model impact and identify high leverage opportunities for improvement
- Collaborate cross-functionally with product, engineering and data science teams to align technical solutions with business goals and customer experience
- building production grade ML Systems
Other
- 4 years of professional experience in applied machine learning
- Experience working in startup or high-growth environments
- Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work independently and manage ambiguity in fast-paced environments
