Staff Machine Learning Engineer, Ai & Knowledge Engineering

Details of the offer

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 At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team's 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.
Basic Qualifications Architect and design large scale inference, recommendation and interactive agents' system that are self-learningDesign/architect/work on large language model-based agent systemsDevelop and customize/tune deep learning generative models, deep learning models for multi-modal for eCommerce customer scenariosTrain foundational models that can help with building learning systemsDefine process and experiments for an E2E foundation modelRefine agent and model training using RAGBuild E2E AI pipelines for storing/servicing foundational modelsMentor and guide team members on frameworks, methodologies related to LLMs, RAGs and their limitations, semantic web, reinforcement learningEnsure Model training is security, compliance awareCollaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company's overall AI strategyPreferred Skills Overall 10+ years of working in software engineering and AI/ML Engineering3+ years of demonstrated experience in building large scale foundational models, models for eCommerce scenarios.Expertise in large language model fine-tuning and deployment.Deep background in transformer architecturesUnderstand RAG and its limitations for multi-modal knowledge retrieval.Proficiency in Python, PyTorch/TensorFlow, Spark, BigQueryExperience 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 skillsPassion for Large language models, NLP, and Machine Learning at scaleEducation: B.S, M.S or PhD in Computer science, or related fieldPay & Benefits Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for this position ranges from $138,000/year in our lowest geographic market to $297,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
General Description of All Benefits Medical/Dental/Vision/Life, AD&D insuranceFlexible Spending Accounts (FSA) & Health Savings Account (HSA)Long-term/Short-term DisabilityEmployee Assistance Program (EAP) program401K Plan with Company Match18-21 days of the Paid Time Off (PTO) a year based on the tenure12 Public HolidaysPaid Parental leavePre-tax commuter benefitsMTV - [Free] Electric Car Charging StationGeneral Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.
If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at ******. Requisition ID: R0044356

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Nominal Salary: To be agreed

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