Staff Machine Learning Engineer, Offsite Ads

Build AI-native machine learning systems for Coupang’s Offsite Ads business, focused on prediction, bidding optimization, and auction dynamics.

Responsibilities

• Design and build machine learning models and systems to improve ad targeting, ranking, bidding, and campaign performance across the Offsite Ads platform.
• Develop large-scale prediction and optimization models, including CTR, CVR, GMV, and bidding optimization.
• Apply modern AI approaches, including LLMs, embeddings, agentic AI, and deep learning to address advertising challenges.
• Build scalable ML infrastructure and production systems to support rapid experimentation and reliable model deployment.
• Define success metrics, evaluate business impact, and continuously improve model performance through data-driven experimentation.
• Collaborate closely with Product, Engineering, Data Science, and business teams to solve high-impact customer and advertiser problems.
• Lead projects from concept to production with strong ownership and accountability for business outcomes.
• Mentor engineers and contribute to a culture of technical excellence, innovation, and continuous learning.

Requirements

• 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 developing production-grade ML systems using Python and/or Java.
• Strong experience with PyTorch and modern deep learning architectures for prediction, ranking, recommendation, retrieval, or optimization.
• Demonstrated ability to solve complex and ambiguous business problems using data-driven analysis and machine learning innovation.
• Proven track record of owning large technical initiatives and delivering measurable business impact.

Technologies

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

Benefits

• Annual bonus: 0-20% of base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 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

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 modern AI technologies, including LLMs, generative AI, embedding models, retrieval systems, or agentic AI.
• Strong 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.
• Demonstrated ability to solve ambiguous problems, drive technical strategy, and deliver measurable business impact.
• Strong communication and collaboration skills, with the ability to influence stakeholders across multiple functions.
• Comfortable operating in a fast-paced, high-growth environment with a strong sense of ownership and customer focus.

Pay & Benefits

• Base pay for Staff level ranges from $164,000/year to $282,000/year.
• Pay is based on market location and may vary depending on job-related knowledge, skills, and experience.

Other Compensation

Other Compensation includes, but is not limited to, bonuses, equity, or other forms of compensation offered in addition to established salary range or wage scale.

Recruitment Process

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

The recruitment process may vary by role and may change due to scheduling or other circumstances. Interview schedules and results are communicated to the email address submitted at application.

Details to Consider

• This job posting may be closed prior to the stated end date if all openings are filled.
• Coupang may rescind an offer if false information is submitted during the application process.
• Candidates eligible for employment protection (for example, recipients of veteran’s benefits or the disabled) may receive preferential treatment under applicable laws.

Privacy Notice

• Personal information is collected and managed by Coupang per the Application Privacy Notice: https://www.coupang.jobs/privacy-policy/.
• For assistance or reasonable accommodation during recruiting due to a disability: [email protected].
• Coupang is an equal opportunity employer and provides consideration without regard to protected characteristics.

Requisition ID: R0081748

Location: Mountain View, CA (onsite)

Experience: 6+ years