科技職缺
職缺列表
DevOps 개발 및 인프라 담당자
DevOps and infrastructure engineer running multi-cloud (AWS + Naver Cloud) Kubernetes platforms, building CI/CD and GitOps pipelines, and operating LGTM monitoring stacks for an AI-driven logistics optimization startup.
Product Manager - OS
Own product strategy, roadmap, and end-to-end lifecycle for AI Factory OS (pdx), 원프레딧's B2B enterprise Industrial AI platform that connects assets, data, AI models, agents, and applications for manufacturing/energy customers.
Product Manager - Application
Product Manager owning AI-powered manufacturing applications end-to-end on a B2B enterprise AI platform (AI Factory OS / pdx), spanning strategy, roadmap, PRD, UX, release, and operations across predictive maintenance, quality, process, and energy use cases.
[인턴] 데이터엔지니어(Data Engineer)
Data Engineer Intern supporting an AI-based pharma/bio data platform by collecting, cleaning, and pipeline-ing text data (papers, patents, company data) using Python (Selenium, BeautifulSoup4), Airflow, MariaDB, MongoDB, and AWS.
Fullstack Engineer (동물병원 AI 영상판독 SaaS)
Technical lead modernizing a Java/Spring Boot B2B SaaS that runs AI-based X-ray and ultrasound interpretation for veterinary hospitals, expanding PACS integration, EMR/CRM, and Kubernetes-based cloud infrastructure on a stack being upgraded from Java 8 / Spring Boot 2.5.
Software Engineer-AI
AI Software Engineer at Mediwhale, an AI healthcare company in Seoul, developing retinal-based AI diagnostics (SaMD) for cardiovascular/renal/metabolic disease. Day-to-day work covers AI model training and evaluation, building internal research platforms (data marts, leaderboards), dataset construction, and deploying models into a regulated medical product.
Principal GenAI Engineer
AI/GenAI engineer on the AI Core team designing and deploying production ML and LLM features — reimbursable cost matching, anomaly detection, and in-month billing monitoring copilots — using Google Vertex AI, Gemini, and GCP data services within an enterprise billing pipeline.
Sr. Manager, Machine Learning Engineering-Applied Research
Lead and develop a team of ML researchers and engineers at Pinterest building next-generation recommendation systems. Drives the roadmap from breakthrough ML research into production systems that power the platform.