Senior Staff/Staff Machine Learning Engineer
Senior Staff/Staff Machine Learning Engineer
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Job Description
Senior Staff/Staff Machine Learning Engineer-LLM
Company Introduction
We exist to wow our customers. We know were 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 sped we have been at 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 whats 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.
Summary:
At Coupang we invest in providing the best product experience for our customers. The AI and Knowledge Engineering teams mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs agents LLMs AI ML NLP and multi-modal models. We are looking for engineers who want to work on cutting edge technology that is the intersection of Semantic knowledge bases agents NLP LLM ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.
The Role/Responsibilities:
- Work on GenAI self-learning systems to solve complex eCommerce scenarios.
- Develop statistical models for predictive and compound AI Models
- Train foundational models that can help with building learning systems.
- Define process and experiments for an E2E foundation model.
- Build E2E AI pipelines for storing/servicing foundational models.
- Mentor and guide team members on frameworks methodologies related to data lakes data normalization dimension reduction visualization statistical models.
- Ensure Model training is security compliance aware.
- Collaborate with cross-team members to understand the requirements ensuring the foundational models knowledge captured aligns with the companys overall AI strategy.
What you will bring/ Requirements:
- Overall 10 years of working in software engineering and AI/ML Engineering.
- 4 years of demonstrated data science experience in building large scale foundational models for eCommerce scenarios.
- Expertise in large language model fine-tuning and deployment.
- Deep understanding of AI/ML/Deep-learning and statistical model architecture.
- Strong statistical/mathematical background in defining metrics learning functions and result analysis.
- Significant experience in SQL Python PySpark Scala and R
- Proficiency in PyTorch/TensorFlow Spark BigQuery
- Experience in creating complex data visualization tools frameworks and techniques.
- Experience in dimension reduction in big data.
- Proficient in cloud analytical stacks Lakes warehouse ETL pipelines
- Experience with inference platforms in AWS Azure and other open-source platforms.
- Are result-oriented with a bias towards customer obsession flexibility and impact.
- Strong written and verbal communication and teamwork skills
- Passion for Large language models NLP and Machine Learning at scale
Education: B.S M.S in Computer science or Mathematics or related field
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 veterans 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: in Equal Opportunities for All
Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.
Required Experience:
Staff IC
Employment Type
Full-Time
