Cake Job Search

Advanced filters
Off
Logo of Mynavi 台灣邁那比股份有限公司.
公司主要從事SES(系統工程服務)事業,目前手上擁有許多與AI領域相關的案件。 預計未來AI相關需求將持續成長,目前正處於事業擴展的成長階段。 即使目前尚無AI相關經驗,只要具備工程師經驗,也有許多案件可以參與。 我們積極招募有志於投入AI領域、希望累積經驗、提升技能與市場價值的人才! 【案件範例】 ・生成式AI基礎平台開發支援 ・對話型AI的研究/開發/導入 ・銷售管理系統的API伺服器建置 ・雲端與銷售管理系統的整合開發 ・打造在元宇宙空間中進行互動的應用程式開發 【工作內容範例】 ・大型語言模型(LLM)的標註工具開發 ・網站爬蟲系統開發 ・以後端為主的全端開發 ・探索將生成式AI應用於既有服務的方式 ・利用現有的基礎模型(LLM)進行微調與相關研究/開發
Python
JLPT N1
AI
4M ~ 8M JPY / year
3 years of experience required
No management responsibility
Logo of 緯雲股份有限公司.
建構與優化機器學習模型: 運用多維度運動數據(如賽事數據、球員表現),開發球員薪資計算、表現預測等核心模型,並持續進行優化。 支援產品與行銷決策: 深入分析用戶行為與市場趨勢,提供數據洞察,協助產品團隊優化功能、支援行銷團隊制定精準策略。 整合生成式 AI 應用: 導入並開發生成式 AI 功能,例如自動化產出運動新聞與球員動態,豐富產品內容。 提升內部數據工作流程效率: 運用 AI 技術優化資料處理、分析與建模的流程,提升團隊整體開發效率。
RESTful API
Python
LLM
50K ~ 80K TWD / month
No requirement for relevant working experience
No management responsibility
Logo of Mynavi 台灣邁那比股份有限公司.
■ HPC事業 (High Performance Computer事業)科学技術計算向け高性能計算機の開発・製造・販売事業主に大学・官公庁の研究開発機関が行う科学技術計算に対応した高性能計算機の開発・製造・販売を手掛け、研究内容によって使用される計算手法、計算能力等に応じて最適なシステムを提案及びインテグレーションを実施する。主な製品はクラスタ型コンピュータ、パーソナルクラスタシステム。 また科学技術計算に特化したコンサルティングを行う。主にアプリケーションの高速化、簡便化および製品化、技術者・研究開発者向けセミナーの主催などを行う。■ CTO事業 (Configure To Order事業)産業機械向け組込型計算機の開発・製造・販売事業産業用機械を制御する組込型計算機の開発・製造・販売を手掛け、お客様の用途・要望にあった特殊構成システムの提案等を実施する。お客様のニーズに合わせた長期供給機能及び多品種少量供給を行う。
TCP/IP
Linux
C++
4.5M ~ 7.5M JPY / year
2 years of experience required
No management responsibility
Logo of 街口電子支付股份有限公司.
【About This Role】We are seeking a pragmatic AI Engineer to join our product and engineering team to build and deploy our innovative shopping agent platform. This is a hands-on role focused on leveraging existing AI technologies, frameworks, and models to create production-ready conversational commerce solutions.You'll be working at the intersection of AI/ML, payment systems, and e-commerce to deliver seamless shopping experiences to JKOPay's 7 million users.【What You’ll Do】AI Implementation Integration◆ Integrate and fine-tune large language models for conversational commerce use cases◆ Design conversation flows and dialogue management systems for shopping interactions◆ Implement product search and recommendation systems◆ Build data pipelines for training data collection and model improvementOptimize Chat Quality◆ Monitor AI model performance, accuracy, and user satisfaction metrics◆ Optimize model inference speed and cost efficiency in cloud environments◆ Implement A/B testing frameworks for conversation flow optimization◆ Collaborate with product team on feature requirements and user experience improvementsCross-functional Collaboration◆ Work closely with backend engineers on API integrations and system architecture◆ Partner with product managers to deliver the solutions◆ Support QA team in testing AI-driven features and edge cases
LLM
AI & Machine Learning
Negotiable
1 years of experience required
No management responsibility
Logo of MoMo.
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).
No requirement for relevant working experience
Logo of DC 數位溝通整合行銷_傳旭科技.
想要的不只是工作,而是能讓你持續進步的舞台? 在傳旭,我們讓專案管理不只停留在「控管進度」,而是透過 AI技能訓練 + 實戰專案經驗,讓你快速升級成為新世代專案管理人才! 你將主導專案從接案、排程、預算控管到系統交付的每一個關鍵時刻,並與設計師、工程師、行銷同仁密切合作,真正發揮跨領域整合的價值。 ✨ 我們提供獨特的人才培養機制 AI專業培訓:公司提供 AI 技能課程(如 企業AI 流程自動化應用 課程),讓你學會如何將 AI 工具應用在流程優化、數據分析與專案自動化 跨領域實戰經驗:與不同專業的團隊緊密合作,全面培養專案管理能力 成長曲線加速:完整參與專案全流程,從需求訪談到成果交付,快速養成全局視野 你會做的事 主導專案規劃與執行,確保進度、成本與品質達成目標 進行跨部門協調,整合設計、程式、行銷等資源 熟悉客製化系統開發、企業官網建置、CMS 系統等 能針對不同專案提出流程優化建議並落實執行 在專案執行中具備清楚的成本概念 我們期待你 具備 Web-base 專案相關技術觀念 有系統開發或行銷廣告產業經驗者佳 對專案管理、流程優化與團隊協作有高度熱情 喜歡學習新技術,樂於將 AI 工具融入專案流程 為什麼加入我們 成長加速:公司提供 AI 與專案管理的專業培訓 跨領域合作:與設計、工程、行銷團隊協作,全面提升能力 影響力舞台:你的專案將直接影響客戶的數位行銷成效** 公司基本上不鼓勵加班,若臨時因客戶有需求或有較緊急的業務需配合加班時,公司會提供加班申請,給予相應的報酬或休假** 瞭解更多傳旭工作特色 https://www.dc.com.tw/recruit聽聽DC專案經理怎麼說:Ashley 的經驗談 https://youtu.be/EBKaS_wJnpk?si=0hBl2T2DCQSv6Tsv
Word
PowerPoint
MS SQL
40K ~ 50K TWD / month
2 years of experience required
No management responsibility
Logo of FUNNOW Group.
FUNNOW Group is Greater Southeast Asia's leading lifestyle booking platform, revolutionizing how people access dining, wellness, beauty, and accommodation services. Operating across Taiwan, Singapore, Hong Kong, Malaysia, Thailand, the Philippines, and Japan, we manage four brands—FunNow, Eatigo, Niceday, and SaaS (FUNNOW Manager, TABLEAPP)—and connect over 12,000 merchants with a rapidly growing community of 8 million users.As we continue to expand throughout Southeast Asia, the region's growth and development opportunities are boundless. Joining the FUNNOW Group means you'll have the chance to contribute to and thrive in an international environment, gaining invaluable experience and impacting the global stage.Our platform uses AI-powered yield management and digital transformation to help retailers optimize their operations while improving the customer experience. We are dedicated to reshaping leisure time through innovation and providing endless possibilities for our users and team members.At FUNNOW Group, you'll be part of a vibrant and fast-growing ecosystem where your contributions will shape the future of leisure and entertainment. If you're ready to grow with us and make a real difference, join the FUNNOW team and seize the endless opportunities.【THE POSITION】AI Management TraineeAs an AI-driven management trainee, you will rotate across departments and participate in real-world projects to help integrate AI tools and automation into business operations. This role is designed to develop future team leads who can contribute to digital transformation and data-informed decision-making.【WHAT YOU’LL DO】 AI Application and Workflow OptimizationAnalyze workflows and identify opportunities for AI or automation enhancements; execute proof-of-concept when applicableAssist in implementing tools such as ChatGPT, Notion AI, n8n, or Cursor.Cross-Departmental RotationRotate through CEO office, corporate operations , business, operations, marketing, or HR teams to solve real problems using AI solutionsSupport documentation of improved processes and create internal guides for AI usageData Gathering and Insight ReportingSummarize use cases and results in internal reportsAutomate routine data tasks or dashboard updates (e.g., Google Sheets + GPT integrations)Continuous Learning and Knowledge SharingStay up-to-date with emerging AI toolsOrganize and deliver internal sharing sessions or proposals for new AI applications
196+ TWD / hour
No requirement for relevant working experience
No management responsibility
Logo of GoFreight.
【Company Overview】Recognized by Taiwan government as one of "Next Big" startups, GoFreight is harnessing the power of cutting-edge technologies to revolutionize the global freight-forwarding industry. We are searching for a self-motivated AI Intern who is eager to take the lead on crucial projects and drive innovative solutions.【Responsibilities】- Build AI prototypes that solve actual business problems. Think chatbots, document processing pipelines, routing systems. Most projects go from idea to working product in a few weeks.- Own your projects end-to-end: scoping, building, evaluating, shipping. The things you build will be used by real people.- Work with senior engineers and product managers to figure out what to build. Once the direction is clear, you run with it.- Evaluate and improve AI pipelines. That means measuring prompt quality, extraction accuracy, and whether the outputs are actually reliable.- Look for places where LLMs can replace tedious manual work in freight operations. Try things. If they don't work, write up what you learned and move on.- Put LLM-based tools into existing systems and workflows to automate what's slow or repetitive.- Write things down. Good documentation means the next person can pick up where you left off.- Keep up with what's happening in AI and share what you find. We like people who show up with ideas.
220 TWD / hour
No requirement for relevant working experience
No management responsibility
Logo of 蓋亞資訊有限公司.
工作內容1. 負責公司Knowledge Base System的開發與維護2. 設計與實現基於大型語言模型的智能問答系統3. 開發與優化RAG (Retrieval-Augmented Generation) 系統4. 建立與維護向量資料庫,優化檢索效能5. 進行模型評估、調教與優化6. 開發API接口供其他系統整合使用7. 編寫技術文檔與測試案例
RAG
AI Agent
Negotiable
1 years of experience required
No management responsibility
Logo of Google.
Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Experience with AI Platform and Machine Learning Infrastructure establishing standards and quality metrics. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a structured organization. Experience in one or more of the following areas: on-device machine learning, mobile algorithms, LLM/GenAI evaluations, data collection for ML, and Android development. Experience in AI toolchain, evaluation metrics design, and data management techniques. Experience with implementing compute-heavy algorithms on mobile systems. Experience launching one or multiple AI/ML-powered user-facing products. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. AI Platform Empowering X (APEX) team's mission is to accelerate and ensure the quality of the Artificial Intelligence (AI) development lifecycle for Android and Pixel. In this role, you will build the stack for scaling the organization's machine learning (ML) needs, which include data strategies, model training, and evaluation techniques, incorporating human feedback for ML quality, on-device optimization, feature development, and quality experiments.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities Grow the local team experience and projects, mentoring team and removing bottlenecks. Interface with cross-functional and remote teams, engineering managers, and stakeholders to to influence cross-team priority and roadmap. Design tools/platforms/frameworks to enhance intelligent applications development, with focus on model evaluation, quality, and performance on Pixel and Android in a private and safe manner. Craft evaluation datasets, metrics, and pipelines to understand, evaluate and optimize the behavior of our models, platform and algorithms. Support a multitude of user-facing features that rely on the quality and performance of these algorithms, as running on compute-constrained embedded systems. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Negotiable
No requirement for relevant working experience

Cake Job Search

Join Cake now! Search tens of thousands of job listings to find your perfect job.