科技職缺
職缺列表
[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.
Director, Product
Director-level product leader at Cadent, an ad-tech company that uses predictive AI to connect brands, publishers, and consumers across media platforms.
Machine Learning Engineer II
Machine Learning Engineer II role at Demandbase, a B2B pipeline AI platform for go-to-market teams, based in Hyderabad, India. The posting provides only a company overview with no further job details.
Associate Product Manager (US)
Support delivery of Lunit's breast cancer screening software by translating product requirements into detailed user stories, managing Jira backlogs, and coordinating sprints across product, engineering, QA, regulatory, and customer-facing teams.