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An internship focused on generating, reviewing, and managing data for vision-AI models (e.g., VLM, embodied reasoning) to enhance robotics and spatial understanding in LG’s Physical AI Lab.
Internship developing cutting-edge large language models: training, fine-tuning, benchmarking, and optimizing inference engines for state-of-the-art AI foundations.
Build full-stack software for an AI-driven lab that designs experiments, automates lab robots, and integrates AI models and equipment into a production-ready platform.
Backend engineer building AI services and APIs in Python/Node.js, designing databases, and deploying on cloud with Docker/Kubernetes.
Intern builds AI models to extract and structure financial data, run time-series predictions, and improve multimodal finance-focused AI systems using Python and deep learning frameworks.
Designs and builds a unified data platform for petabyte-scale AI research data, including cataloging, governance, pipelines, and Kubernetes-based services on Google Cloud.
Backend engineering intern designing and building AI service APIs, databases, and cloud infrastructure for LG AI Research’s agent and platform products using Python, Node.js, PostgreSQL, and MongoDB.
팀 소개 AI Business Development Team은 각 산업별로 국내 및 글로벌 기업들과 파트너쉽을 통해, 연구원의 핵심 기술을 사업화 하는 조직입니다. 이를 위해, 다양한 산업군의 기업이 필요로 하는 AI 기술을 고객 및 파트너사와 같이 정의 하고, 면밀한 사업성 검토를 통해 실질적인 가치를 창출하는 사업을 기획 및 실행합니다. 수행업무 담당 고객사의 프로젝트 전 과정을…
Optimizes and builds inference engines for large language models (LLMs) to serve the EXAONE model efficiently across frameworks, while contributing to open-source LLM serving projects like vLLM or SGLang.
Designs and operates MLOps pipelines for AI model lifecycle management, including training, inference, and monitoring on Kubernetes-based containerized workflows.
Intern to assist in deploying and operating AI services on Kubernetes, automate infrastructure with Terraform, and improve CI/CD pipelines using GitLab and ArgoCD.
Research intern designs AI models to predict, generate, and optimize protein structures and sequences for drug discovery and enzyme engineering.
QA engineer designs test plans and automates checks for AI-powered chat and service products, ensuring quality through manual and automated testing.
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