[SCM Autonomation] Staff Machine Learning Engineer

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Company Introduction  

We 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 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.  

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 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. 

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. 

Role overview:

This role is part of the SCM Autonomation team at Coupang. As an ML Engineer, you will be at the forefront of developing and implementing ML/DL models and pipelines that drive supply chain efficiencies and innovation. The ML Engineer is essential for building robust, scalable ML/DL forecasting models and pipelines and ensuring their integration with SCM products to optimize inventory and supply chain processes end-to-end.

What you will do

• Conduct and drive design and development of ML model engineering and pipelines for SCM related products focusing on demand forecasting for inventory optimization, and supply chain resilience.
• Design/Implement/Oversee the ML lifecycle, including data preprocessing, model training, experimentation, evaluation, deployment, and monitoring.
• Collaborate with product managers to translate business requirements into scalable ML solutions and work with cross-functional teams of Data Scientists, Data Analysts and Back-end Engineers to deliver world class ML solutions.
• Implement best practices for data management and model versioning, and lifecycle management to ensure reproducibility and compliance.
• As part of the ML engineer team, foster a culture of innovation and continuous learning.
• Advocate for and apply advanced ML techniques and algorithms to forecast tens of millions of products/SKUs having complex demand patterns.
• Engage with stakeholders to demonstrate the business value of ML initiatives and gather feedback for continuous improvement.
• Stay abreast of the latest developments in ML/DL/LLM and supply chain technologies to keep Coupang's SCM products at the cutting edge.
• Ensure the stability and performance of ML/DL/LLM models in production, addressing any issues promptly and efficiently.

Basic Qualifications

• Proven expertise in building and deploying ML/DL/LLM models in a production environment, experimenting with models using existing or formulated features, and forecasting related domain experience is preferred.
• Strong proficiency with ML/DL/LLM frameworks, tools and languages such as Python, R, Java, TensorFlow, and PyTorch with demonstrated experience in distributed model training to handle large-scale datasets, able to visualize model results using Open-source packages to stakeholders via UI portal
• Strong experience with Big Data ecosystem (Spark, Hive, HBase) and familiar with SQL and NoSQL (Redis/MongoDB)
• Excellent problem-solving skills with the ability to simplify complex concepts for a broad audience.
• Experience in conducting and driving ML projects with a track record of delivering impactful ML solutions to production
• Minimum bachelor’s degree in computer science, Engineering, or related fields.
• 5+ years of experience in ML engineering, with expertise in E-commerce, SCM, or related fields.

Preferred Qualifications

• Master's or Ph.D. in Machine Learning, Data Science, or a related technical field is preferred.
• Experience in Front-end Engineering is a plus.

Recruitment Process and Others  

Recruitment Process  

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. 

Details to Consider 

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang 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.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/