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【工作內容】你將與開發工程師密切合作，協助完成量化交易系統開發及維護，在這個實習計畫中，你將有機會接觸以下工作： 開發與回測高頻或日內量化交易系統擷取與處理交易所（台股以及加密貨幣交易所)之實時數據實盤部署與監控策略執行情況運維交易行情及交易數據監控 【必要條件】 熟練掌握python，能夠使用pandas/numpy/sklearn等package分析和處理資料熟悉C/C++，能夠在linux下開發，部署，測試C++專案熟練掌握基礎的data structure和algorithm (leetcode中等難度）具備基本作業系統(Operation System)和電腦網路知識（大學專業課程程度) 【加分條件】 有獨立的github項目經驗（請提供github repo）熟練使用pytorch，有開發或部署神經網路模型的經驗 具備一定的量化交易系統或者資料系統開發經驗 【適合對象】 大三以上資工、資管、AI、軟體相關科系在學生每週可配合至少3日

awoo 阿物科技以深厚的 SEO 顧問專業起家，成功轉型為服務全球逾 16,000 家企業的 MarTech 領導品牌。面對生成式 AI 改寫企業營運與消費者行為的巨浪，awoo 結合「頂尖 AI 技術」與「十年顧問實戰經驗」，推出具備市場前瞻性的 GEO (Generative Engine Optimization) 與 LLMO 解決方案。我們致力於協助企業在大型語言模型主導的未來，不僅被 AI 看見，更被精準引用與推薦，將 AI 轉化為企業持續成長的最佳 Agent。【可接受農曆年後入職】 Major Duties and Responsibilities： 產品落地與協作：負責開發和優化 AI 產品與服務，從 PoC 到產品化，跨部門合作提出創新解決方案，推動 AI 產品落地。效能優化：維運現有系統，分析並解決服務和算法的效能瓶頸。ML/Data Pipeline：設計與建立可擴展的 Pipeline 自動化流程，提升開發和部署效率。 Qualifications： 具備 5 年以上軟體開發經驗，3 年以上 AI 產品研發經驗。熟悉自然語言處理（NLP）、生成式 AI 相關技術（LLM, RAG, Prompt/Context Engineering），使用開源套件或自行開發算法（Transformers, LangChain, LangGraph, DSPy, TensorFlow, PyTorch, Scikit-Learn）。具備模型的開發、訓練、部署、優化的完整實務經驗。具備使用 Container 和 Kubernetes 的開發與部署經驗。熟悉向量資料庫與 Embedding 模型，確保系統效能與可擴充性。熟悉分散式計算與查詢引擎（如 Spark、Trino、Clickhouse），具有處理大量資料處理開發與維運經驗。熟練 Git, Linux, Python, Docker, SQL，能以 FastAPI 開發高效服務。 Nice-to-Have： 雲平台經驗，如 GCP, AWS, Azure。具有 LLM/SLM Finetuning 實務經驗。MLOps/LLMOps 專案經驗，以量化指標來衡量模型和產品的成效。規劃與實作 CI/CD 自動化流程。具備推薦、搜尋或貼標系統的產品化經驗 擅⻑工具（JD 標籤） 程式與開發：Python, Git, Linux, SQL, FastAPIGenAI：RAG, Prompt Engineering, Context Engineering, Agent資料與運算：Airflow, Spark, Trino, Vector Database, Qdrant平台與部署：Docker, Kubernetes, Cloud, GCP, AWS, Azure

我們正在尋找一位具備深厚AI技術背景與架構設計能力的資深AI架構師／工程師，能夠主導公司AI技術的發展方向，並在各個業務環節與產品中導入AI解決方案，提升整體營運效率與產品競爭力！ 【工作內容】 • 擔任AI技術領導角色，制定AI技術藍圖與發展策略 • 主導AI架構設計，涵蓋資料處理、模型訓練、部署與監控 • 與產品、業務 等跨部門合作，發掘AI應用場景並提出創新解決方案 • 評估並導入最新AI技術（如生成式AI、LLM、Vision AI、AutoML等） • 指導團隊成員進行AI模型開發與優化，提升團隊技術能力 • 參與AI相關專案的技術評估、PoC、落地實施與效益分析 【必要條件】 • 資訊工程、電機、統計、數學或相關領域碩士以上學歷 • 5年以上AI／機器學習／深度學習相關工作經驗 • 熟悉主流AI框架（如 PyTorch、TensorFlow、Transformers、LangChain 等） • 具備大型AI系統架構設計與部署經驗（雲端／地端皆可） • 熟悉資料工程流程與工具（如 Spark、Airflow、Data Lake、ETL） • 具備MLOps實務經驗者佳（如 MLflow、Kubeflow、Docker、Kubernetes） • 具備良好溝通能力與跨部門協作經驗

1.實作監督式/非監督式 AI 模型2.開發影像視覺 AI 應用3.開發數值異常監控 AI 演算法4.實作 AI 晶圓手臂強化式學習5.演算法/模型優化6.協助 AI 其他半導體領域應用7.部門間溝通協調1.熟悉 Python 程式語言2.具備任一深度學習框架經驗 (PyTorch、Keras, etc)3.統計分析/機器學習/深度學習 相關經驗4.獨立研究國外論文並實作 SOTA AI 模型5.具備調校模型能力6.團隊協作技能，熟 git 版本控制7.具有分析解決問題以及溝通能力8.數學/資工/電腦科學相關科系佳9.熟悉 C#、ML.NET 加分10.具有機器人控制/影像辨識/生成式AI經驗加分11.具有半導體設備經驗加分

職缺介紹 晧飛思（Heph A.I Studios）是一家專注於 AIGC（AI 生成內容） 的創新公司， 致力於打造 數字人（Digital Human）、語音互動（Speech AI）、虛擬主持人（AI Host）、智慧櫃檯（Smart Concierge）、虛擬助理（AI Assistant） 等新世代 AI 產品。 我們的 iOS 應用正引領 AI 互動的新世代， 讓使用者能以自然的語音、表情與情感與智慧角色交流。 如果你對 AI 技術與人機互動體驗 充滿好奇， 並希望在產品從 0 到 1 的建構過程 中實際參與與學習，這個職位將非常適合你。 工作內容 協助開發與優化 數字人、語音互動、AI 內容生成 相關的 iOS 應用程式 參與 虛擬主持人（AI Host）、智慧櫃檯（Smart Concierge）、AI 助理 等產品模組開發 與資深工程師合作，整合 AIGC 技術（LLM、VLM、Stable Diffusion 等）至 iOS 應用協助串接 語音 AI 技術（Speech-to-Text / Text-to-Speech）與即時影音串流功能 撰寫乾淨、可維護的 Swift / SwiftUI 程式碼協助進行 App 性能優化與除錯參與 Code Review、技術討論與跨部門協作 基本要求 一年以上 iOS 開發經驗，熟悉 Swift 與 SwiftUI 理解 Combine、Async/Await、Concurrency 等非同步開發概念 熟悉 MVVM / TCA / Clean Architecture 架構設計概念 具備基本影音處理經驗（AVFoundation / Core Image / Vision 佳）了解 RESTful API、WebSocket 串接流程 熟悉 Git 版本控制與 CI/CD（Fastlane / Jenkins）流程者佳 對 AI、語音技術、虛擬角色或互動應用有興趣 具備良好的學習能力、主動性與團隊合作精神 加分項目 曾開發或參與 AI 互動類、虛擬角色或創新應用專案 有 CoreML / TensorFlow Lite / PyTorch Mobile 使用經驗 熟悉 Whisper、VITS 或其他語音相關 AI 技術 對 ARKit / RealityKit / Unity 有基礎了解 有個人專案、開源貢獻或技術作品集可展示 成長與挑戰 在晧飛思，你將在實戰中快速成長，從「執行者」逐步成為「創造者」。 你將有機會： 與 設計師、資深工程師 一起打造新世代 AI 應用 參與產品與團隊 從 0 到 1 的建構過程，理解一個 AI 應用如何誕生 實際接觸 語音 AI、Vision Model、LLM 等前沿技術 在實務中累積產品開發與架構經驗，建立屬於自己的技術方向 我們重視實作與學習潛力，而非僅僅履歷。 若你熱愛開發、樂於探索新技術，我們會提供足夠的引導與支持，陪你一起成長。 這裡的挑戰，來自未知與創新； 而你的成長，將來自讓技術真正落地、讓世界看見你的成果。 薪資與福利 薪資範圍： 年薪 NT$80 – 130 萬（依能力與經驗調整） 年節績效獎金 休假制度： 除法定特休外，另提供彈性休假，可自由運用於休息、進修或個人規劃 假期項目： 生理假、婚喪喜慶假、育嬰假 員工生活： 年度旅遊補助、每月零食預算 成長支持： 專業課程補助、內部技術分享與跨部門交流會 工作型態： 彈性上班時間與遠端工作選項

Mô tả công việcBuild and training pipelines for Generative AIImplement, optimize with state-of-the-art computer vision modelsCollaborate with teams to integrate computer vision algorithms into larger AI systems and applications.Stay up-to-date with the latest advancements in computer vision research and apply them to enhance our AI projects.Yêu cầu công việcFinal year students or fresh graduates with GPA above 3.2/4 or 8.0/10;Education: Top students from Vietnamese universityEnglish: IELTS 6.0, TOEIC 800, or Cambridge C1 (Nice to have)Experience: Fresh graduates or candidates with less than 2 years of experience.Employment Type: Full-time.Proficiency in programming languages such as Python, C++, or similar, along with experience in deep learning frameworks (e.g., PyTorch).

Mô tả công việcArchitect end-to-end generative AI solutions including Large Language Models (LLMs), multimodal AI systems, and AI-powered applicationsDesign and implement scalable generative AI systems leveraging state-of-the-art models such as GPT, Claude, Llama, and other foundation modelsBuild production-ready generative AI products including conversational AI, content generation, code generation, and intelligent automation systemsDevelop and optimize LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and model alignment techniquesLead cross-functional collaboration with data scientists, ML engineers, product managers, and business stakeholders to deliver complete AI solutionsEstablish MLOps practices for generative AI including model versioning, A/B testing, monitoring, and continuous deploymentMentor engineers and provide technical leadership in generative AI best practices and emerging technologiesResearch and evaluate new generative AI techniques, tools, and frameworks to maintain competitive advantageEnsure responsible AI practices including safety, fairness, privacy, and ethical considerations in all AI systemsYêu cầu công việc3+ years of relevant professional experience in AI/ML with 2+ years specifically in Generative AIDeep expertise in Large Language Models, transformer architectures, and generative AI techniquesHands-on experience with foundation models (GPT-4, Claude, Llama, Gemini) and fine-tuning approaches (LoRA, QLoRA, PEFT)Production experience with generative AI applications including RAG systems, AI agents, and conversational AIStrong programming skills in Python with proficiency in PyTorch, Transformers, LangChain, and modern AI frameworksExperience with cloud platforms (AWS, GCP, Azure) and AI/ML services for model deployment and scalingLeadership experience in guiding technical teams and driving AI product development

We are seeking a Senior AI Research Engineer specializing in Speech to join our AI RD team. You will lead research and development of advanced speech technologies, including automatic speech recognition (ASR), speech understanding, and text-to-speech (TTS) systems. Your work will contribute to voice-enabled assistants, call-bot intelligence, and multilingual speech interfaces, directly impacting millions of MoMo users across Vietnam. You will explore cutting-edge models, adapt them to Vietnamese and low-resource settings, and develop efficient, production-ready speech systems optimized for mobile and real-time environments.Mô tả công việcResearch and develop speech recognition models (ASR) for Vietnamese and multilingual contexts, focusing on noise robustness and real-time performance.Design and train speech understanding systems for intent detection, speaker classification, and dialogue comprehension.Develop text-to-speech (TTS) pipelines with natural prosody, emotion, and style transfer for human-like synthesis.Optimize model performance for low-latency deployment on mobile and edge devices.Integrate ASR, TTS, and NLU modules into end-to-end speech assistants and call-bot systems.Collaborate with backend and product teams to integrate speech technologies into MoMo’s ecosystem (e.g., customer service, virtual assistant).Conduct literature reviews and lead experimental studies on speech processing.Yêu cầu công việcQualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or related field. PhD is a plus.Proven experience in speech processing research or development, such as ASR, TTS, or spoken language understanding.Strong knowledge of deep learning for audio.Hands-on experience with frameworks like PyTorch, TensorFlow.Proficiency in Python and familiarity with signal processing libraries.Understanding of model deployment and optimization for real-time inference.Ability to read, reproduce, and extend state-of-the-art speech research papers.Nice to HaveExperience with end-to-end speech systemsExperience in Vietnamese or Southeast Asian speech datasets.Familiarity with multilingual pretraining or self-supervised learningKnowledge of speech emotion recognition, speaker diarization, or voice conversion.Experience deploying models in production environments (e.g., on mobile apps or customer service systems).

We are seeking a Senior AI Engineer (AI-Ops / MLOps) to take a leading role in designing, deploying, and optimizing large-scale AI systems at MoMo. You will be responsible for building robust, production-grade infrastructure that enables fast iteration and reliable serving of LLMs, and speech modelsIn this position, you will lead AI deployment strategy, mentor junior engineers, and collaborate with AI researchers to bridge the gap between prototyping and scalable production — ensuring that MoMo’s AI innovations reach millions of users efficiently and safely.Mô tả công việcUtilize end-to-end AI infrastructure pipelines on top of existing MoMo infrastructure, from training to serving and continuous monitorin;Lead the design and implementation of high-throughput model serving systems (e.g., vLLM, Triton, TensorRT, ONNX Runtime) and model serving techniques (in-flight batching, speculative inference);Define model-level monitoring and alerting hooks integrated with MoMo’s existing observability stack (Prometheus, Grafana);Collaborate with DevOps/CloudOps teams, AI research, data engineering, and backend teams to ensure smooth integration of AI models into MoMo’s ecosystem;Conduct performance benchmarking and capacity planning to maintain SLA compliance across AI services;Focus on inference optimization strategies (quantization, batching, caching, pruning, GPU/TPU resource tuning);Mentor and guide the AI-Ops/MLOps team on best practices in distributed serving, orchestration, and infrastructure reliability;Evaluate new technologies and tools to improve scalability, cost efficiency, and model lifecycle automation.Yêu cầu công việcBachelor’s in Computer Science, Artificial Intelligence, Software Engineering, or a related discipline;3+ years of experience in AI infrastructure, DevOps, or MLOps roles (with at least 1 years at a senior);Familiar with container orchestration (Kubernetes, Docker) and infrastructure-as-code (Terraform, Helm);Strong proficiency with Python and Bash scripting; experience with Go or Rust preferred;Proven experience deploying deep learning models (e.g., PyTorch, TensorFlow, JAX) at production scale;Hands-on experience with CI/CD systems (Jenkins, Argo CD, GitHub Actions) and monitoring stacks (Prometheus, Grafana, ELK);Strong understanding of distributed systems, load balancing, and high-availability architectures;Demonstrated ability to collaborate with researchers and translate prototypes into scalable, reliable production systems.Nice to HaveExperience with LLM inference optimization (vLLM, LoRA adapters, quantization, multi-GPU scheduling);Familiarity with speech or vision models and multi-modal AI pipelines;Experience integrating LLM and speech models into scalable inference microservices;Knowledge of feature stores, data versioning, and real-time feature serving (Feast, Redis, Kafka);Background in security, privacy, or governance frameworks for AI systems.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.