Staff Machine Learning Engineer - Search Ranking
Coupang · Mountain View, USA
About this role
**Role Overview** Coupang’s Search & Discovery organization optimizes customers’ navigation experience and drives long-term growth. Millions of customers use search in the app or on coupang.com each week, and a large share of sales are attributed to search and recommendation. In this role, you’ll build scalable offline and online ML platforms for ranking and recommendation, transforming massive volumes of user interaction data and raw log files into data objects for engineers and scientists. You’ll also serve complex ML models in real time to help millions of customers search and discover products. **What You Will Do** - Design features and build large-scale machine learning models and systems to improve relevance, ranking, personalization, and engagement - Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery (e.g., transformer-based models, contrastive learning, vector search) - Drive innovation in search relevance and user intent modeling using LLMs, embedding-based retrieval, and multi-modal learning - Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow—ensuring reproducibility, scalability, and operational excellence - Define and track key performance metrics to evaluate model impact and identify high-leverage improvement opportunities - Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience - Mentor and grow engineering talent, fostering technical excellence, experimentation, and continuous learning **Basic Qualifications** - Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field - 4+ years of professional experience in applied machine learning - Experience in machine learning, deep learning, and statistical modeling - Proficiency in Python and/or Java, with experience building production-grade ML systems **Preferred Qualifications** - 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 or Google Cloud (e.g., Vertex AI, BigQuery, SageMaker) - Experience in startup or high-growth environments - Proven ability to lead cross-functional teams and deliver results in a multicultural, global organization - Hands-on experience with modern ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras, XGBoost, LightGBM, H2O.ai) - Experience with ML lifecycle tools (e.g., MLflow, Kubeflow, Weights & Biases, Amazon SageMaker) - Excellent communication skills; able to explain complex technical concepts to technical and non-technical stakeholders - Demonstrated ability to work independently and manage ambiguity in fast-paced environments **Pay & Benefits (Summary)** - Base pay range for Staff: **$152K/year to $277K/year** (varies by market location and job-related factors) - Annual bonus: **0–20%** of base salary - Medical/Dental/Vision/Life, AD&D insurance - FSA and HSA options - Long-term/Short-term disability - Employee Assistance Program (EAP) - 401K plan with company match - Paid Time Off: **18–21 days/year** (based on tenure) - 12 public holidays - 6 weeks paid parental leave - Pre-tax commuter benefits - Free electric car charging station (MTV) **Recruitment Pro
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