Staff, Machine Learning Engineer (Catalog Knowledge)

Coupang exists to create customer delight. When our customers ask, "How did I ever live without Coupang?" we know we are fulfilling our mission. Coupang is led by the unique obsession of making the shopping, dining, and living easier for our customers, leading innovations across the billion-dollar e-commerce industry. We are one of the fastest-growing e-commerce companies, building customer trust and establishing a dominant position in the domestic commerce industry. Coupang is proud to be a global public company based on a startup culture. This allows us to maintain the agility of our founding days, continuously launching new services and expanding our business. We provide every employee at Coupang the opportunity to demonstrate entrepreneurial spirit and drive new innovations and initiatives. The willingness to dive into work and achieve results without hesitation embodies the essence of the Coupang work style. At Coupang, you will witness the daily growth of yourself, colleagues, team, and the entire company. Every employee at Coupang is genuinely committed to our mission of creating the future of commerce. We are resolving customer issues, challenging traditional notions and concepts, and surpassing achievable limits. If you desire an amazing work experience in a high-availability (always-on) and high-tech environment within a hyper-connected world, join Coupang now. Job Description: Our goal is to deliver the best e-commerce experience to our customers. We aim to improve the quality of the catalog composed based on the products registered by the sellers by automatically detecting features and structuring information to create a more consistent customer experience. To accomplish this, we develop and operate systems used in the product registration process and introduce statistical, machine learning, and deep learning technologies across the process to optimize performance. This position includes the development of Machine Learning/Deep Learning (ML/DL) Models and the platform's commercialization and operation. It also includes collaboration with one or more teams as a technical leader and enhancing the technical level of peers. Job Responsibilities: - Development and commercialization of ML/DL models based on text and image - Design and development of ML pipeline - Development of Prediction service based on Java or Python - Investigating, learning, and utilizing best practices inside and outside the company Qualifications: - Ability to act as a technical leader of the team, capable of leveraging data analysis insights and direction for ML/DL modeling - Deep understanding of ML/DL and statistics-based modeling - 5+ years of experience in ML/DL modeling and commercialization, or 3+ years after obtaining a related degree - Expertise in handling large-scale data technologies (EMR/Hadoop/Spark, etc.) - Experience in developing a Prediction service based on Java or Python - Ability to find problems on your own, create assignments, and lead them - Ability to specify ambiguous business issues and derive their solutions Additional requirements: - Successful experience in improving the core business index using machine learning - Experience in building an ML pipeline - Experience in developing a similarity measurement model based on text and image - NLP, LLM, or Image processing modeling experience Candidate selection procedure and guidance: Selection Process: 1. Document screening > first interview > second interview > consultation on remuneration 2. The selection process may differ depending on the job and may be subject to change depending on the schedule and situation. 3. The selection schedule and results will be individually guided via the email registered in the application. Notes: 1. The job posting may close early if recruitment is completed. 2. Offers may be withdrawn if any false information is found in your application. 3. The status of being a veteran or a person with a disability does not disadvantage the recruitment process. 4. The rank and scope of the assigned tasks may change considering the overall career and experiences of the candidate. If such changes are necessary, they will be communicated at the appropriate time before the final pass notification. Privacy Policy: 1. The Coupang Group collects and processes your personal information according to the job applicant's personal information processing policy (link below). 2. https://www.coupang.jobs/kr/privacy-policy Document Return Policy: As per the law of 'Fairness of Employment Procedure', following items are notified to applicants. - If you have not been selected in the recruitment process, you can request the return of the application documents submitted. However, submitted online or voluntarily without company's request will be not applied. If the documents have been destroyed due to a reason that is not company's responsibility, it is regarded as being returned. - If you want to file for return of your documents, please fill out the 'Application documents Return Request Form' and submit it to Coupang via email ([email protected]). The application documents will be sent by registered mail within 14 days from the date on which the submission of the request has been confirmed. In this case, the postage for the registered mail is to be paid by the receiver. - Miscellaneous 1. The Coupang Group keeps the original application documents for 180 days from the date the recruitment is confirmed. After the period, if there is no request for the return of documents, we will destroy all of the application documents in accordance with the Personal Information Protection Act.