Staff Machine Learning Engineer

Build next-generation machine learning systems for Coupang’s offsite advertising business in Mountain View.

Responsibilities

• Design and build ML models and systems to improve ad targeting, ranking, bidding, and campaign performance across Coupang Offsite Ads.
• Develop large-scale prediction and optimization models for CTR, CVR, GMV, and bidding optimization.
• Apply modern AI approaches including LLMs, embeddings, agentic AI, and deep learning to address complex advertising challenges.
• Build scalable ML infrastructure and production systems to support rapid experimentation and reliable model deployment.
• Define success metrics, evaluate business impact, and improve model performance through data-driven experimentation.
• Partner with Product, Engineering, Data Science, and business teams to solve high-impact customer and advertiser problems.
• Drive initiatives from concept through production with strong ownership and accountability for business outcomes.
• Mentor engineers and contribute to a culture focused on 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 building 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 problems.
• Demonstrated ability to solve complex and ambiguous business problems through data-driven analysis and ML 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

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 including 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 to influence stakeholders across multiple functions.
• Comfort operating in a fast-paced, high-growth environment with a strong sense of ownership and customer focus.

Pay & Benefits

• Base salary: $164,000/year to $282,000/year (Staff position range).
• Pay is based on factors including market location and may vary based on job-related knowledge, skills, and experience.
• 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/year based on tenure.
• 12 Public Holidays.
• 6 weeks Paid Parental leave.
• Pre-tax commuter benefits.
• MTV: [Free] Electric Car Charging Station.

Other Compensation

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

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact process may vary and can change due to scheduling or other circumstances.
• Interview schedules and results are communicated via the email address submitted during application.

Additional Notes

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

Privacy Notice

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice: https://www.coupang.jobs/privacy-policy/ . For reasonable accommodation during the recruiting process due to a disability, contact [email protected].

Requisition ID: R0078849

Location: Mountain View, CA (onsite)

Summary focus: Prediction, bidding optimization, auction dynamics modeling, generative retrieval, foundation models/LLM-powered advertising, and agentic AI systems for Offsite Ads.