Senior Staff Machine Learning Engineer

Coupang•Mountain View, CA

39d•$159,000 - $324,000

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 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. Role Overview The SDPE (Search and Discovery Product Engineering) ML group is Coupang's advanced machine learning team. It keeps Coupang at the forefront of machine learning technology across multiple application areas including content understanding, recommendation, ranking and more. It is a high impact applied team that works on directly bringing that technology to the product in collaboration with product engineering teams. The main contribution of the team's work is to drive top line metrics for wowing our customers and thriving Coupang business. This organization drives cutting-edge AI innovations in the industry, notably multimodal large language models and generative models, and the end-to-end large-scale systems including GPU serving. We apply them on all use cases on Coupang, including personalized search results, query recommendations, autocomplete, product recommendations, as well as image/title/description/video generation. The work leads to billions of incremental annual revenue. As a Senior Staff ML engineer in SDPE ML Group, you will leverage the most advanced algorithms to improve and innovate Coupang's product search and discovery experience. You are expected to be a leading expert in one or multiple areas including recommendation platform, machine learning, deep learning or natural language processing. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects.

Requirements

8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
Experience applying generative AI, multimodal AI, or vision-language models in production environments
Hands-on experience training, fine-tuning, and deploying large language models or large vision models at scale
Proficient coding skills in Java, C++ or Python
Master's or PhD in Computer Science or related fields

Nice To Haves

Track record of advancing state-of-the-art in LLMs, multimodal AI, or computer vision research (publications, benchmarks, or open-source contributions)
Ability to think outside-the-box and challenge conventional wisdoms.
Extensive knowledge in deep learning and computer vision techniques.
A passion to explore, improve, automate and optimize distributed systems and tools.
PhD in Computer Science or related Engineering majors

Responsibilities

Root causes the major defects that are present in Coupang searchers' experience.
Propose solutions which address these defects and leverage the state-of-the-art technologies, including ML, DL and LLM.
Drive end-to-end ML methods that have a high degree of ambiguity, scale and complexity
Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production.
Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
Run A/B experiments, gather data, and perform statistical analysis to develop insights that drive product requirements.
Present results and explain methods to the leadership.
Mentor junior engineers on the team and partner teams and help to uplevel ML talent across the company.
Be a thought leader and able to gain consensus in the organization when needed.