Staff Machine Learning Engineer

Coupang•Mountain View, CA

29d•$138,000 - $297,000

About The Position

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'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 at 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 As our Staff Machine Learning Engineer for Coupang Ads Learning (Ads Tech), you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform. The Coupang Ads Learning (Ads Tech) is responsible for providing vendors that sell their products on Coupang with a host of marketing products and services. Our group is responsible for advertising brands and products inside our e-commerce website. This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We're building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search-based advertising. In this role you will be responsible for innovating and building our new ad quality stack for our ads platform and eventually extend it into a full ad exchange, DSP, and SSP.

Requirements

Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
4 years of professional experience in applied machine learning
Experience in machine learning, deep learning, and statistical modeling
Proficiency in Python and/or Java, with experience in building production grade ML Systems

Nice To Haves

Master's or PhD in relevant technical fields
Experience with search systems, information retrieval or recommendation engines
Experience with LLMs, embeddings, and vector search technologies
Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
Experience working in startup or high-growth environments
Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai
Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders

Responsibilities

Design and implement large-scale ML systems for personalized recommendation using state-of-the-art techniques such as transformer-based models, contrastive learning and vector search
Define and track key performance metrics to evaluate model impact and identify high leverage opportunities for improvement
Collaborate cross-functionally with product, engineering and data science teams to align technical solutions with business goals and customer experience