> Markdown version of [/jobs/ext/3080472-staff-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3080472-staff-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Machine Learning Engineer - **Company:** CMG Media Corporation - **Location:** Seattle, United States - **Experience:** Expert - **Salary:** $41,600.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Automated Storage and Retrieval Systems, Big Data, Distributed Computing Environment, Python (Programming Language), Machine Learning, Recommender Systems, Azure Machine Learning, Data Driven Tests, Cloud Platform System, Pytorch, Large Language Models, Apache Spark, Deep Learning, Generative AI, Scikit Learn, Kubernetes, Information Technology, Data Analytics, Xgboost, Machine Learning Operations, Virtual Agents - **Published:** September 25, 2026 - **Apply:** https://startup.jobs/staff-machine-learning-engineer-coupang-internal-10183940 ## About the Role * 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 problems. * Demonstrated ability to solve complex and ambiguous business problems through data-driven analysis and machine learning innovation. * Proven track record of owning large technical initiatives and delivering measurable business impact., * 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. ## Description * Design and build machine learning models and systems that improve ad targeting, ranking, bidding, and campaign performance across Coupang's Offsite Ads platform. * Develop large-scale prediction and optimization models, including CTR, CVR, GMV, and bidding optimization. * Apply modern AI technologies such as LLMs, embeddings, agentic AI, and deep learning to solve complex advertising challenges. * Build scalable ML infrastructure and production systems that enable rapid experimentation and reliable model deployment. * Define success metrics, evaluate business impact, and continuously improve model performance through data-driven experimentation. * Partner closely with Product, Engineering, Data Science, and business teams to solve high-impact customer and advertiser problems. * Drive 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)