Staff Machine Learning Engineer (Ads Relevance)

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  • 서울시
  • 정규직
  • 풀타임
  • 1개월 전
DescriptionWe exist to wow our customers. We know we're doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we're collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.We 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 entrepreneurial 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.Our 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.Job Overview:The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services. We launched Product Ads performance advertising marketplace late in 2018. We have grown rapidly to a multi-billion (USD) ads business quickly in the past few years and we continue to grow fast. Our group is responsible for advertising brands and products on our e-commerce platform, a crucial aspect of our business that rivals the success seen by giants like Alibaba and Amazon.The Ads Relevance team, a key part of CMG, is at the forefront of developing cutting-edge AI/ML algorithms to deliver contextually relevant advertisements to Coupang's customers. We work with a diverse range of AI models, from lightweight traditional ML to the latest LLM technologies, to enhance the advertising experience for our users. By efficiently applying advanced AI/ML and engineering techniques, we not only improve user engagement but also drive the long-term growth of Coupang's advertising business.At Ads Relevance, we thrive on data-driven decision-making and experimentation. We embrace new challenges in a fast-paced environment and foster a culture of horizontal collaboration and idea sharing. We are looking for passionate individuals who are eager to create better ad experiences and contribute to our innovative team.Professional Summary:
  • Over 5 years of industry experience in software engineering, specializing in LLM/VLM modeling with reasoning.
  • Strong problem-solving skills through scientific approaches such as observation, hypothesis, experimentation, evaluation, and analysis.
  • Experience on iterative model improvements cycle: model training > offline/online evaluation > online A/B testing > error analysis > model training again.
  • Developed codebases for training and inference of AI/ML models using distributed GPU resources.
  • Ability to quickly follow up on the latest research trends and apply them to production.
  • Ability to work effectively in multi-cultural, cross-functional teams.
  • Bachelor's degree in computer science, engineering, mathematics, physics, science, or equivalent.
Preferred Qualifications:
  • Experience on LLM inference optimization
  • Experience on Vision language model (VLM)
  • Familiarity with LLM training and inference frameworks such as PyTorch, HuggingFace, DeepSpeed, VLLM, and SGLANG.
  • Master's or Ph.D. degree in computer science, engineering, mathematics, physics, science, or equivalent.
[Recruitment Process and Others]Recruitment Process:
  • Application Review - Phone Interview - Onsite Interview - Offer
  • The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances.
  • Others:
  • This job post may be closed early if all openings are filled.
  • If there is any false information in the application, the offer may be cancelled.
  • Veteran status or disability will not result in any disadvantages in the recruitment process.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.
[Privacy Notice]
  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
[Document Return Policy]
  • This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
  • A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
  • A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email ( recruitingops@coupang.com ) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant's designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
  • In preparation for a job applicant's request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

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