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We are seeking a skilled and experienced Machine Learning (ML) Researcher to contribute to the development of cutting-edge safety and security solutions for ML systems, with a strong focus on large language & multi-modal models (LLMs) and their applications. The ideal candidate will have hands-on experience building and deploying LLMs in production environments, combined with a passion for addressing challenges related to adversarial attacks, model robustness, data privacy, and compliance. 我們正在尋

We are seeking a highly skilled and experienced Prompt and AI Security Engineer to address the most pressing customer concerns regarding AI security, prompt engineering, and model integrity. The ideal candidate will have hands-on development experience, the ability to integrate and customize security solutions for target endpoints (applications or models), and expertise in defining and refining prompts generated by AI systems. This role involves working closely with clients to mitigate security

效率。 監控 ETL 作業執行情況，及時診斷並解決作業失敗、性能瓶頸等問題。 數據安全法： 確保 ETL 流程符合企業數據安全標準與隱私保護規範（如 GDPR、ISO27001）。 執行數據加密、脫敏等安全策略，確保敏感數據的保

Monitor network traffic, system logs, and security tools to investigate alerts and security incidents Document incidents and provide detailed postmortem reports Work with IT teams to patch vulnerabilities and improve security configurations Configure and manage firewalls, intrusion detection/prevention systems (IDS/IPS), antivirus software, and other security technologies Ensure compliance with internal policies and external regulations (like GDPR, HIPAA, or ISO 27001) Collaborate with internal

數據存取快速、安全且成本效益高。 數據治理、質量與合規性 建立數據治理實踐，確保數據完整性、質量和符合法規（如GDPR、CCPA、AML/KYC）。 實施數據驗證、清洗和審計流程。 成本優化 設計兼顧性能與成本效益

與訓練。 ● 與行銷、產品、資料科學團隊對接，推動數據驅動專案。 ● 具指導初/中階工程師經驗，能主導技術規劃與問題排查。 資料合規 ● 設計符合 GDPR、CCPA 的資料模型與治理流程，確保資料安全與隱私。

透過 Kubeflow 優化 MLOps 流程。 跨部門協作 ● 與行銷、產品、工程團隊對接，推進數據驅動專案。 ●向管理層展示演算法對業務的量化影響，驅動決策。 資料合規 ●設計符合 GDPR、CCPA 的資料模型，確保數據安全與隱私。

能汇出特定数据中心的情况下。 数据合规性 ：确保系统架构符合全球和地区性的数据合规要求（如GDPR、CCPA等），并在需要时支持分区数据存储，避免跨境数据传输中的合规风险。 数据分类和管理 ：管理和

Core Responsibilities: 1. Manage global data storage and distribution architecture: Responsible for building and maintaining a distributed data architecture that meets regional data storage and transmission requirements, particularly in scenarios where data cannot leave specific data centers. 2. Data compliance: Ensure the system architecture adheres to global and regional data compliance requirements (e.g., GDPR, CCPA) and supports partitioned data storage when necessary to mitigate cross-borde

應用程式與網路設備的安全漏洞。 - 建立與維護資安政策、標準與作業流程，確保符合法規與企業內控要求（如 ISO 27001、NIST、GDPR）。 - 負責企業環境安全，包括辦公室網路、VPN、Wi-Fi、門禁系統、監控系統、物聯網（IoT）裝置