Senior ML Engineer - Scalable Search & Recommendations

Coupang; Mountain View (CA); On-site; USD 246,000 - 308,000; Full time

Benefits offered by this job

Annual bonus (0-20%)

FSA/HSA

Disability insurance

EAP

401K with match

PTO 18-21 days

Public holidays

Parental leave

Electric car charging station

Job summary

Coupang in Mountain View, CA, is hiring for a Staff-level machine learning engineer in the Search & Discovery organization. You will build scalable offline and online ML platforms to support ranking, recommendation, and business decisions, handling billions of records and petabytes of logs.

You will design features for large-scale ML systems, deploy models in real time, and collaborate across product, engineering, and data science teams while mentoring others and delivering measurable

Qualifications

• 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, with experience in building production grade ML systems.

Responsibilities

• Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement.
• 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.
• 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 opportunities for improvement.
• 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 a culture of technical excellence, experimentation and continuous learning

Skills

Applied ML experience

Deep learning

Statistics modeling

Python/Java production ML

Education

Bachelor's degree in CS/EE/math/stats

Master’s or PhD in relevant fields

Tools

TensorFlow

PyTorch

Scikit-learn

MLflow

Kubeflow

Job description

Coupang in Mountain View, CA, is hiring for a Staff-level machine learning engineer in the Search & Discovery organization. You will build scalable offline and online ML platforms to support ranking, recommendation, and business decisions, handling billions of records and petabytes of logs.

You will design features for large-scale ML systems, deploy models in real time, and collaborate across product, engineering, and data science teams while mentoring others and delivering measurable