Staff Machine Learning Engineer

Coupang Media Group (CMG) is seeking a Staff Machine Learning Engineer to define and build next-generation machine learning systems and AI-native advertising products for the company’s Offsite Ads business. The role focuses on prediction, bidding optimization, auction dynamics modeling, generative retrieval, foundation-model and LLM-powered advertising, and agentic AI systems.

Role Summary

The Staff Machine Learning Engineer will work on machine learning models and production systems that improve ad targeting, ranking, bidding, and overall campaign performance across Coupang’s Offsite Ads platform. The position combines deep learning and statistical modeling with scalable infrastructure to support rapid experimentation and reliable deployment.

Key Responsibilities

• Design and build machine learning models and systems that enhance ad targeting, ranking, bidding, and campaign performance across Coupang Offsite Ads.
• Develop large-scale prediction and optimization models, including CTR, CVR, GMV, and bidding optimization.
• Use modern AI technologies such as LLMs, embeddings, agentic AI, and deep learning to address complex advertising challenges.
• Build scalable machine learning infrastructure and production systems to enable fast experimentation and dependable model deployment.
• Define success metrics, evaluate business impact, and improve model performance through data-driven experimentation.
• Collaborate with Product, Engineering, Data Science, and business teams to solve high-impact customer and advertiser problems.
• Lead initiatives from concept through production, with strong ownership and accountability for business outcomes.
• Mentor engineers and contribute to a culture of technical excellence, innovation, and continuous learning.

Required Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
• 6+ years of industry experience developing and deploying machine learning solutions in production environments.
• Strong foundation in machine learning, deep learning, statistical modeling, optimization, and large-scale data systems.
• Hands-on experience building production-grade machine learning systems using Python and/or Java.
• Strong experience with PyTorch and modern deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization.
• Proven ability to solve complex and ambiguous business problems using data-driven analysis and machine learning innovation.
• Track record of owning large technical initiatives and delivering measurable business impact.

Technologies

• Python, Java
• PyTorch, deep learning
• LLMs, embeddings, agentic AI
• CTR, CVR, GMV
• XGBoost, LightGBM, Scikit-learn
• MLflow, Kubeflow, Spark, Airflow

Preferred Qualifications

• Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
• Experience in digital advertising, recommendation systems, ranking systems, marketplace optimization, or large-scale machine learning.
• Experience with LLMs, generative AI, embedding models, retrieval systems, or agentic AI.
• Expertise in PyTorch and developing large-scale production machine learning systems.
• Experience with distributed training, model serving, and ML platforms in cloud environments.
• Familiarity with ML tools and frameworks such as PyTorch, XGBoost, LightGBM, Scikit-learn, MLflow, Kubeflow, Spark, and Airflow.
• Ability to solve ambiguous problems, drive technical strategy, and deliver measurable business impact.
• Strong communication and collaboration skills, including influencing stakeholders across multiple functions.
• Comfort operating in a fast-paced, high-growth environment with strong ownership and customer focus.

Compensation

Base Pay: $164,000 to $282,000 per year for the Staff position. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience.

Other Compensation: “Other Compensation” may include bonuses, equity, or other forms of compensation offered in addition to the established salary range.

Benefits

• Annual bonus: 0-20% of base salary
• Medical/Dental/Vision/Life and AD&D insurance
• Flexible Spending Accounts (FSA) and Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP)
• 401K Plan with Company Match
• Paid Time Off (PTO): 18-21 days per year based on tenure
• 12 public holidays
• 6 weeks paid parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

Work Location

Location: Mountain View, CA (Onsite)

Recruitment Process

• Application Review
• Phone Interview
• Onsite (or Virtual Onsite) Interview
• Offer

The exact recruitment process may vary by role and scheduling. Interview schedules and results are communicated to the applicant via the email address submitted during application.

Additional Information

• This posting may close prior to the stated application end date if all openings are filled.
• Coupang may rescind an offer if a candidate is found to have submitted false information during the application process.
• Certain candidates eligible for employment protection may receive preferential treatment in accordance with applicable laws.

Privacy Notice and Accommodation

Personal information is collected and managed by Coupang as described in the Application Privacy Notice: https://www.coupang.jobs/privacy-policy/. For disability accommodations during recruiting, contact [email protected].

Requisition ID

R0078849