Staff Machine Learning Engineer
Job Description
Join Coupang Media Group (CMG) to define and build next-generation machine learning systems and AI-native advertising capabilities for Offsite Ads.
Responsibilities
- Design and build machine learning models and systems to improve ad targeting, ranking, bidding, and campaign performance for Coupang Offsite Ads.
- 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 solve complex advertising problems.
- Build scalable ML infrastructure and production systems that support rapid experimentation and reliable model deployment.
- Define success metrics, evaluate business impact, and improve model performance using data-driven experimentation.
- Partner with Product, Engineering, Data Science, and business teams to address high-impact customer and advertiser problems.
- Lead projects from concept to production with strong ownership and accountability for business outcomes.
- Mentor engineers and help build 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 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.
- Ability to solve complex and ambiguous business problems through data-driven analysis and machine learning innovation.
- Track record of owning large technical initiatives and delivering measurable business impact.
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.
- Expertise in PyTorch and building 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.
- Strong communication and collaboration skills, with the ability to influence stakeholders across multiple functions.
- Comfort working in a fast-paced, high-growth environment with ownership and customer focus.
Technologies
- Python, Java, PyTorch
- LLMs, embeddings, agentic AI, deep learning
- CTR, CVR, GMV
- XGBoost, LightGBM, Scikit-learn
- MLflow, Kubeflow, Spark, Airflow
Pay & Benefits
- Base pay range for Staff position: $164,000/year to $282,000/year.
- Annual bonus: 0-20% of base salary.
- Medical/Dental/Vision/Life, AD&D insurance.
- Flexible Spending Accounts (FSA) and 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.
- Other Compensation may include bonuses, equity, or other forms of compensation in addition to base salary range.
Recruitment Process
- Application Review → Phone Interview → Onsite (or Virtual Onsite) Interview → Offer
- Exact process may vary and may change due to scheduling or other circumstances.
- Interview schedules and results are communicated via the email provided at application stage.
Additional Details
- This posting may be closed prior to the stated application end date if all openings are filled.
- Coupang may rescind an offer if a candidate submitted false information as part of the application process.
- Certain candidates eligible for employment protection (for example, veterans’ benefits recipients and disabled individuals) may receive preferential treatment according to applicable laws.
- Personal information is collected and managed per Coupang’s Application Privacy Notice: https://www.coupang.jobs/privacy-policy/
- Reasonable accommodation for disability during the recruiting process can be requested at [email protected].
- Requisition ID: R0078849.