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Senior Staff Machine Learning Engineer - AdsCoupang • Mountain View, California, United States
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Senior Staff Machine Learning Engineer - Ads

Coupang
  • US
    Mountain View, California, United States
  • US
    Mountain View, California, United States
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À propos

Overview
Talent Partner - Energizing talents // Empowering leaders at Coupang. We exist to wow our customers and disrupt the multi-billion dollar e-commerce industry from the ground up. Coupang combines startup culture with the resources of a large global public company, enabling bold, ambitious people to drive new initiatives and innovations. Our mission is to build the future of commerce by solving problems and pushing boundaries in an always-on, high-tech, and hyper-connected world. Role Overview
Senior Staff Machine Learning Engineer for Coupang Ads Technology (Ads Tech). You will be responsible for developing and designing machine learning models, optimization algorithms, and new product features for our advertising platform. Ads Tech provides vendors with marketing products and services to advertise brands and products inside Coupang’s e-commerce site. This is an opportunity to help build a new development organization with strong revenue potential, constructing full-stack engineering teams to handle large-scale advertising problems such as real-time behavioral targeting, auctioning and bidding systems, and search-based advertising. The role includes innovating and building our ad quality stack for the ads platform and eventually extending it into a full ad exchange, DSP, and SSP. What You Will Do
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 Basic Qualifications
Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields 8 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 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, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker Experience working 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 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 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 Compensation
Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $159,000/year in our lowest geographic market to $324,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. Benefits
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 MTV - [Free] Electric Car Charging Station Other Compensation
“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. Equal Opportunity
Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Equal Opportunities for All
Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team Location and other postings
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  • Mountain View, California, United States

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