{"id":4044405,"url":"https://alion.io/job/coupang-staff-machine-learning-engineer-4","title":"Staff Machine Learning Engineer","company":{"id":239,"name":"Coupang","domain":"coupang.com","url":"https://alion.io/company/coupang","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":98,"ghost_share":0.092,"stale_share":0.214,"repost_share":0.133,"time_to_fill_p50_days":70,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":164000,"max":282000,"currency":"USD","period":"year","gross":null,"usd_annual":282000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Keras","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-11-10T20:49:36Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T23:18:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.\nWe are proud to have the best of both worlds - a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.\nOur mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.\nRole Overview\nAs a Staff Machine Learning Engineer for the Coupang Media Group (CMG) - Ads Quality & Ranking, you will be responsible for designing and deploying state-of-the-art machine learning models, ranking algorithms, and optimization systems powering our advertising platform.\nThe Coupang Media Group provides vendors and advertisers with high-impact marketing products and services directly within our e-commerce marketplace. Operating at internet scale-handling over 1 billion daily ad impressions-our platform covers complex engineering challenges across real-time behavioral targeting, automated auctioning and bidding, click-through rate (CTR) / conversion rate (CVR) prediction, and search-based advertising. In this role, you will lead the transition of our ad quality stack toward enterprise-grade ML infrastructure and extend our footprint across full-stack ad tech solutions.\nWhat You Will Do\nML System Design & Ads Ranking\nModel Development: Architect, build, and deploy large-scale machine learning and deep learning models to optimize ad targeting, relevance, ranking, and user engagement.\nAlgorithmic Innovation: Develop advanced techniques for automated mechanisms, including auto-bidding algorithms, query expansion, and advertiser ROI optimization models.\nMarketplace Intelligence: Design systems that provide actionable suggestions and insights to advertisers, enabling them to identify growth opportunities within the Coupang marketplace.\nArchitecture & System Scalability\nInfrastructure Strategy: Architect and evolve our end-to-end machine learning platform to serve high-throughput, low-latency ad requests at internet scale.\nTechnical Quality & Rigor: Maintain high standards for code quality, system reliability, and automated testing across complex distributed machine learning pipelines.\nLeadership & Collaboration\nCross-Team Leadership: Lead large-scale technical projects spanning multiple engineering teams, aligning technical roadmaps with business objectives.\nMentorship: Provide technical guidance, code reviews, and architectural mentorship to mid-level and senior engineers.\nCross-Functional Partnering: Collaborate closely with Product Management, Data Science, and Business Leadership to design and deliver next-generation advertising features.\nBasic Qualifications\nBachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields\n4 years of professional experience in applied machine learning\nExperience in machine learning, deep learning, and statistical modeling\nProficiency in Python and/or Java, with experience in building production grade ML systems\n Preferred Qualification\nMaster’s or PhD in relevant technical fields\nExperience with search systems, information retrieval or recommendation engines\nExperience with LLMs, embeddings, and vector search technologies\nExperience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker\nExperience working in startup or high-growth environments\nProven ability to lead-cross-functional teams and deliver results in a multicultural, global organization\nHands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai\nExperience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker\nExcellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders\nDemonstrated ability to work independently and manage ambiguity in fast-paced environments\nPay & Benefits\nOur compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.\nThe base pay for this position ranges from $164,000/year in our lowest geographic market to $282,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience.\nGeneral Description of All Benefits\nAnnual bonus is 0-20% of the base salary\nMedical/Dental/Vision/Life, AD&D insurance\nFlexible Spending Accounts (FSA) & Health Savings Account (HAS)\nLong-term/Short-term Disability\nEmployee Assistance Program (EAP) program\n401K Plan with Company Match\n18-21 days of Paid Time Off (PTO) a year based on the tenure\n12 Paid Holidays\nPaid Parental leave\nPre-tax commuter benefits\nMTV- [Free] Electric Car Charging Station\nGeneral Description of Other Compensation\n“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.\nRecruitment Process\nApplication Review - Job Fit Interview - Focus Interview - Offer\nThe exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.\nInterview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.\nDetails to Consider\nThis job posting may be closed prior to the stated end date for application if all openings are filled.\nCoupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.\nThose eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.\nPrivacy Notice\nYour personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/\nCoupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender(including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate.\nIf you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at .\nEqual Opportunities for All\nCoupang is an equal opportunity employer. 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