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友達高雄軟體解決方案研發中心誠摯邀請您加入，一起成為下一代 AI 技術的關鍵推手！我們正在尋找 AI演算法研發工程師，與我們頂尖的 AI 團隊攜手，共同推進企業AI底層模型的研究能力。不僅是優化AI，您將深入演算法設計與開發，把最前沿的技術導入公司，也將成為AI研究者參與學術貢獻！若您也希望可以待在高雄發展，並把握AI浪潮的前沿技術，歡迎應徵與我們進一步聯繫！【工作內容】1. AI 演算法設計與開發： 負責影像辨識相關模型之設計、訓練、調優與性能評估。2. 控制流程 AI 化與最佳化： 研究如何利用 AI 演算法（如強化學習、模型預測控制等潛力技術）取代或提升現有處理流程之效率。3. 數據分析與可視化： 針對多維度表格資料或影像數據進行特徵工程與分析，轉化為有效之訓練輸入。4. 前瞻技術轉化： 追蹤與評估 AI 領域最新論文技術，並嘗試將其應用於解決實際控制或辨識問題。5.學術產出： 參與技術報告撰寫、專利申請或 AI 論文期刊發表。"

Applications will be reviewed on a rolling basis and it’s in the candidate’s best interest to apply early. The anticipated application window is open until April 30, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.Participation in the internship program requires that you are located in the Taiwan for the duration of the internship program.This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):1. In the “Resume Section:” attach an updated CV or resume.Please ensure your anticipated graduation date (in MM/YY) is listed on the resume.2. In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending” to upload a transcript.Join us for a unique 10-12 week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Google welcomes people with disabilities.Minimum qualifications: Pursuing a PhD program with a focus on subjects in software development or other technical related fields. Experience in software development and coding in one or more of the following: Python or C++. Experience with data structures or algorithms gathered from inside or outside of school or work. Preferred qualifications: Currently attending a degree program in Taiwan and available to work full time for 12 weeks outside of university term time. Penultimate academic year or returning to a degree program after completion of the internship. Programming experience in one or more of the following: C/C++, Python, CUDA. Research experience in computer architecture, embedded systems, accelerators, artificial intelligence, data mining, distributed systems, machine learning, data science, LLM, rule base or systems. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobAs a Software Engineering intern, you will work on a specific project critical to Google’s needs. Software Engineering Intern:As a key member of a versatile team, you will work on a specific project critical to Google’s needs. We need our engineers to be versatile, and enthusiastic in addressing problems as we continue to push technology forward. You will design, implement, and manage the hardware, software, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, cloud customers and the billions of people who use Google services around the world.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Develop software for Google Cloud’s infrastructure to empower Google service and external cloud customers, with hardware platforms including compute, storage, or AI-accelerators like TPUs and GPUs. Create and support a productive and innovative team including working with peers, managers, and teams. Analyze data and evaluate results to choose the best solution to effectively solve issues. Develop scripts or use AI to automate routine tasks and manual processes. Apply knowledge gained in computer science courses to real world issues. 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.

At SWAG Live's data team, our mission is to democratize data by building a self-service data platform. We aim to empower internal teams to access, interpret, and derive valuable insights from data effectively.As a Data Scientist in this role, you will collaborate with a multidisciplinary team of engineers and analysts to tackle diverse challenges using quantitative techniques such as statistical analysis and machine learning. You will work with large, complex event-based datasets, conduct exploratory data analysis (EDA), define requirements, and develop deploy models. We are particularly seeking a data scientist with experience in building customized recommendation models and a strong interest in product-focused machine learning development. Responsibilities Leverage state-of-the-art algorithms to build fully customized recommenders and other growth models.Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training tuning and engineering toolchains.Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.Understand stakeholder business requirements and design end-to-end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.Collaborate closely with data engineers and backend engineers to develop scalable systems.Communicate efficiently with cross-functional teams, promote the implementation of strategic applications, and drive continuous optimization.

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. The Role: We are seeking an exceptionally talented data scientist with strong modeling and programming skills to join our team. In this role, you will work closely with data science team and technologists across the firm to develop appropriate features and metrics for data processing. Perform analysis and generate models of financial datasets using machine learning techniques Process, clean and verify the integrity of unstructured data and turn data into valuable insights Develop and create data that seek to predict the movement of financial market Transfer data into internal infrastructure applying variety of algorithmic techniques What You’ll Bring: Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas Good academic record Familiar with modeling, data structures, algorithms and optimizations Strong knowledge of machine/deep learning algorithms Proficient in programming languages of both C++ and Python Possess good communication and presentation skills in English Ability to work independently and as member of a team Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart a self-starter Detail oriented and capable of multitasking and delivering in fast-paced work environment As a plus: While not mandatory, a strong interest in financial markets will definitely be beneficial Participant of ACM-ICPC 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.

1.Spice model generation and verification for advanced and specialty technologies2.Spice Model Parameter Extraction3.Test key design4.Advanced modeling tools, extraction algorithms and model equation benchmarking

1.Spice model generation and verification for advanced and specialty technologies2.Spice Model Parameter Extraction3.Test key design4.Internal and external customer support5.Advanced modeling tools, extraction algorithms and model equation benchmarking

1.Spice model generation and verification for advanced and specialty technologies2.Spice Model Parameter Extraction3.Test key design4.Internal and external customer support5.Advanced modeling tools, extraction algorithms and model equation benchmarking

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science or a related field, or equivalent practical experience. 4 years of experience in consumer hardware. Experience with music and media tuning, digital filter design, bass enhancement algorithms, spatial sound, and speaker arrays. Experience with standard audio measurement tools (e.g. SoundCheck, Audio Precision, and Audition). Preferred qualifications: Master’s degree or PhD in Electrical Engineering, Computer Science, Acoustics, or a related field. 9 years of experience in consumer hardware industry. Experience with Machine Learning (ML) based audio enhancement and with acoustics and audio electrical engineering architecture. Experience with subjective and objective audio quality assessment. Experience with audio playback applications with managing conflicting system requirements. Excellent listening skills and a passion for audio performance. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.Responsibilities Own the outcome for the complete audio playback system solution on wearable devices, including defining, tuning, validation, and debugging. Lead the analysis, evaluation, and bench marking of audio enhancement algorithms using objective and subjective methods. Drive alignment and technical coordination with acoustic engineers on loudspeaker architecture and placement on devices. Collaborate with internal developers and external vendors to integrate and refine systems to meet next-generation product requirements. Partner with cross-functional teams (e.g., Electrical Engineers, Acoustics, Algorithms, Product Management) to resolve system tests and deliver quality audio playback performance. Contribute to the product road maps by investigating new technologies and delivering features. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Acoustics, Electrical or Computer Engineering, Physics, a related field, or equivalent practical experience. 4 years of experience in consumer hardware. Experience with audio measurement tools (e.g., SoundCheck, Audio Precision, Advanced Communication Quality Analysis software (ACQUA), etc.). Experience with voice quality measurement using ACQUA and Head and Torso Simulator (HATS). Experience with voice algorithm tuning-acoustic echo cancellation, adaptive beamforming and noise suppression. Preferred qualifications: Master's degree or PhD in Acoustics, Electrical Engineering, or a related field. 7 years of experience in audio related fields. Experience with International Telecommunication Union - Telecommunication (ITU-T), Third Generation Partnership Project (3GPP) and European Telecommunications Standards Institute (ETSI) specifications for voice communications, and Machine Learning (ML) based voice algorithms and voice processing pipeline development, evaluation or implementation on voice communication products. Experience with acoustic and electrical measurement using soundcheck, audio precision, etc. Knowledge of voice algo-acoustic echo cancellation, beamforming and noise suppression. About the jobBe part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Googles mission is to organize the worlds information and make it universally accessible and useful. Our Devices Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our users interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices Services team is making peoples lives better through technology.Responsibilities Work with cross-functional teams to help deliver telephony voice call experience with excellent voice quality and take on voice algorithm tuning and validation. Work with audio engineering and algorithm teams to perform advance debugging of signal chains. Define, evaluate, benchmark, and tune voice communication/telephony algorithms (e.g., Noise suppressor, microphone beamforming, Acoustic Echo Cancellation (AEC)), for all calling scenarios by objective and subjective methods. Implement a voice processing pipeline or voice algorithm into the Audio subsystem by considering system requirements on power, thermal, memory and latency. Provide guidance to internal and external algorithms and solution providers to guide road maps, and contribute to the road maps by investigating new technologies and delivering new features. Collaborate with acoustic engineers on loudspeaker and microphone architecture and locations on devices for optimized audio devices. 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India.Minimum qualifications: Pursuing a PhD program with a focus in software development or other technical related field. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.). Experience working in Unix/Linux environments. Experience with data structures, algorithms, and software design. Preferred qualifications: Research experience in algorithms, architecture, artificial intelligence, compilers, database, data mining, distributed systems, machine learning, networking, or systems. Programming experience in one or more of the following: C/C++, C#, Java, JavaScript, Python Objective C, Go or similar. Experience in computer science, with competencies in data structures, algorithms and software design. About the jobJoin us for a 12+ week paid internship that offers personal and professional development, an executive speaker series, and community-building. The Software Engineering Internship program will give you an opportunity to work on complex computer science solutions, develop scalable, distributed software systems, and also collaborate on multitudes of smaller projects that have universal appeal.Our recruitment team will determine where you fit best based on your resume.As a Software Engineering Intern, you will work on a specific project critical to Google’s needs.Software Engineering Intern:You will be a key player on a dynamic team, driving the development of AI-integrated software and high-performance applications. Your primary objective is to design, deploy, and maintain the end-to-end infrastructure that sustains our large-scale systems. This is a unique opportunity to contribute to Google’s core needs while evolving your technical expertise in a fast-paced, real-world environment.Google'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 a 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. 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.Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.Responsibilities Foster a culture of productivity and innovation by actively supporting your peers and managers. Collaborate across teams to ensure the continued success and evolution of the AI-driven software and large-scale systems that define our technical landscape.Develop scalable engineering solutions for Google products.Analyze information and evaluate results to choose the best solution to effectively solve issues.Apply knowledge gained in computer science courses to real world challenges. 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.