Staff Machine Learning Engineer
About The Position
As a Staff Machine Learning Engineer for Coupang Media Group (CMG) Ads Quality & Ranking, you will design and deploy machine learning models, ranking algorithms, and optimization systems for Coupang’s advertising platform. The platform serves vendors and advertisers within Coupang’s e-commerce marketplace and handles more than 1 billion daily ad impressions. Its technical challenges include real-time behavioral targeting, automated auctions and bidding, CTR and CVR prediction, and search-based advertising. You will lead the evolution of the ad quality stack toward enterprise-grade ML infrastructure and help expand Coupang’s full-stack ad tech solutions. The role combines hands-on model and system development with technical leadership across teams, mentorship, and collaboration with Product Management, Data Science, and Business Leadership.
Requirements
- Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field.
- At least 4 years of professional experience in applied machine learning.
- Experience in machine learning, deep learning, and statistical modeling.
- Proficiency in Python and/or Java.
- Experience building production-grade machine learning systems.
Nice To Haves
- Master’s or PhD in a relevant technical field.
- Experience with search systems, information retrieval, or recommendation engines.
- Experience with LLMs, embeddings, and vector search technologies.
- Experience with cloud platforms such as AWS or Google Cloud Platform, including services such as 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 machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, or H2O.ai.
- Experience with machine learning lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker.
- Excellent communication skills, including the ability to explain complex technical concepts to technical and non-technical stakeholders.
- Ability to work independently and manage ambiguity in fast-paced environments.
Responsibilities
- Architect, build, and deploy large-scale machine learning and deep learning models for ad targeting, relevance, ranking, and user engagement.
- Develop automated mechanisms, including auto-bidding algorithms, query expansion, and advertiser ROI optimization models.
- Design systems that provide advertisers with actionable suggestions and insights to identify marketplace growth opportunities.
- Architect and evolve the end-to-end machine learning platform for high-throughput, low-latency ad requests at internet scale.
- Maintain code quality, system reliability, and automated testing across distributed machine learning pipelines.
- Lead large-scale technical projects spanning multiple engineering teams and align technical roadmaps with business objectives.
- Provide technical guidance, code reviews, and architectural mentorship to mid-level and senior engineers.
- Partner with Product Management, Data Science, and Business Leadership to design and deliver advertising features.
Benefits
- Annual bonus of 0–20% of base salary.
- Medical, dental, vision, life, and AD&D insurance.
- Flexible Spending Accounts (FSA) and Health Savings Account (HSA).
- Long-term and short-term disability coverage.
- Employee Assistance Program (EAP).
- 401(k) plan with company match.
- 18–21 days of paid time off annually, based on tenure.
- 12 paid holidays.
- Paid parental leave.
- Pre-tax commuter benefits.
- Free electric car charging station.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
