關於Quid(NetBase美商網基品牌)
***歡迎身心障礙朋友加入我們!我們提供彈性工作安排,包括遠端工作(WFH),讓您在舒適的環境中發揮專業才能。***
總部位於矽谷,Quid是一家快速成長且充滿創業精神的公司。在全球社群媒體分析平台上,我們處於世界領先地位!
我們將網際網路上的資訊,如 Facebook 貼文、Instagram圖片、 YouTube留言、Twitter 、各大新聞、消費者評論、產品評論、業務文檔,再到專利申請和論壇等數據,透過匯總、分析並經由最尖端的文字分析技術、自然語言處理技術(Natural Language Processing)及電腦視覺(Computer Vision)分析之後,幫助客戶從數據中取得有價值的資訊,透過我們的工具及服務,客戶可以更快速、更全面地了解市場趨勢、競爭對手、消費者偏好等,能制定更有效的營銷策略和商業決策,從而在市場中佔有更大的優勢。
About Quid
Quid is a pioneer in leveraging cutting-edge technology to address real-world challenges. We don’t just deliver software — we deliver outcomes. Our mission is to transform data into insight, enabling our clients to make better strategic decisions.
About This Team
This team plays a central role in that mission. We empower our Outcome Engineers to deliver customized insights efficiently and support other engineering teams by providing open-source LLM platforms, conducting model benchmarking, and driving AI innovations to handle large social media datasets across the company.
We are seeking entrepreneurial and technically strong Machine Learning Engineers who are passionate about applying Large Language Models (LLMs), NLP, and data engineering to build intelligent systems and infrastructure that enable scalable, outcome-driven work.
Your Role
As a Machine Learning Engineer at Quid, you will build the AI and data analysis pipelines that power our insight-generation process. Your work will combine LLM integration, NLP expertise, and applied machine learning to empower internal teams to extract, organize, and synthesize insights from complex datasets at scale.
You’ll work with both open-source and proprietary LLMs to create tools and workflows that enable our Outcome Engineers to produce consistent, high-quality analytical outputs efficiently.
You will:
Design and implement AI pipelines that automate or accelerate insight creation and tuning.Design and refine prompt strategies and model selection to optimize performance, precision, and cost.Apply machine learning and statistical techniques to structure, enrich, and interpret large datasets, especially text data.Build and maintain scalable model-serving systems — such as hosting open-source LLMs and word embeddings — to support AI-driven analytics across engineering and analysis teams.Maintain rigorous testing, benchmarking, and evaluation of both open-source and proprietary LLM models.
3 years of experience required
No management responsibility