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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: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore. Key Responsibilities: Algorithm Design Implementation: Develop detailed specifications for new and enhanced execution algorithms. Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python. Tooling: Build robust and reusable tools in Python to improve the overall team productivity. Market Impact Modelling: Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading. Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy. Transaction Cost Analysis (TCA): Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization. Provide actionable insights to portfolio managers and traders. Collaboration: Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives. Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation What You’ll Bring: PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies. Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator. Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience with testing, maintaining, or launching software products, and 1 year of experience with large-scale application design and architecture. 3 years of experience with working in a full stack development environment, including User Interface/User Experience (UI/UX) implementation, back-end Application Programming Interfaces (APIs), and experience with database schema design and implementation. Experience with Java, C/C++, or JavaScript programming languages. Preferred qualifications: Strong foundational knowledge of data structures, algorithms, and software design principles. A passion for innovation with a proven ability to evolve products to meet complex partner requirements. Comprehensive experience across the stack, specifically within the Boq/Web-based architecture and Google internal ecosystems. Self-motivated, independent thinker capable of driving projects from concept to completion. Ability to collaborate effectively with TLs and Product Managers while navigating the launch approval process across internal and external enterprise integrations. Demonstrates extensive practical experience in computer science principles, with deep domain knowledge in software design architectures, algorithmic development, and advanced data structures. 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. Responsibilities Work with a team of software engineers that design, develop, maintain and improve our solution for global business payment journeys. Work on all technical aspects of development, including technical requirements definition, design, implementation, unit testing, and integration. Understand long term Google Pay vision, collaborate and break that into scalable eng. designs Build cross-functional relationships across Google Pay teams of Platforms, Product, Trust, Safety, Risk, Marketing, Design and Content Own and drive detailed designs, code implementations and test plan reviews to ensure high quality deliverables. 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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with working in a full stack development environment. 2 years of experience testing, maintaining, or launching software products, and 1 year of experience with large-scale application design and architecture. Experience with Java, C/C++, or JavaScript programming languages. Preferred qualifications: Comprehensive experience across the stack, specifically within the Web-based architecture and Google internal ecosystems. Demonstrates extensive practical experience in computer science principles, with deep domain knowledge in software design architectures, algorithmic development, and advanced data structures. Strong foundational knowledge of data structures, algorithms, and software design principles. Ability to collaborate effectively with Tech Leads and Product Managers while navigating the launch approval process across internal and external enterprise integrations. Self-motivated, independent thinker capable of driving projects from concept to completion. A passion for innovation with a proven ability to evolve products to meet complex partner requirements. 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. Responsibilities Work with a team of software engineers that design, develop, maintain and improve our solution for global business payment journeys. Work on all technical aspects of development, including implementation, unit testing, and integration. Align with the long-term Google Pay goal and help the team achieve those goals. Work with a cross-functional team (including US and India) that includes Google Pay teams of Platforms, Product, Trust, Safety, Risk, Marketing, Design and Content. Be responsible for the end-to-end service lifecycle, including productionization, monitoring, alerting, and active participation in the on-call rotation to resolve bugs and address user feedback. 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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 1 year of experience with working in a full stack development environment. 1 year of experience testing, maintaining, or launching software products, and 1 year of experience with large-scale application design and architecture. 1 year of experience with working in a full stack development environment. Experience with Java, C/C++, or JavaScript programming languages. Preferred qualifications: Demonstrates extensive practical experience in computer science principles, with deep domain knowledge in software design architectures, algorithmic development, and advanced data structures. Strong foundational knowledge of data structures, algorithms, and software design principles. Ability to collaborate effectively with Tech Leads and Product Managers while navigating the launch approval process across internal and external enterprise integrations. Self-motivated, independent thinker capable of driving projects from concept to completion. A passion for innovation with a proven ability to evolve products to meet complex partner requirements. 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. Responsibilities Work with a team of software engineers that design, develop, maintain and improve our solution for global business payment journeys. Work on all technical aspects of development, including implementation, unit testing, and integration. Align with long-term Google Pay vision and help the team achieve those goals. Work with a cross-functional team (including US and India) that includes Google Pay teams of Platforms, Product, Trust, Safety, Risk, Marketing, Design and Content. Be responsible for the end-to-end service lifecycle, including productionization, monitoring, alerting, and active participation in the on-call rotation to resolve bugs and address user feedback. 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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Experience working across US and Asia. Experience in one or more of the following areas: on-device machine learning, mobile algorithms, large Language Model/GenAI evaluations, data collection for ML, and Android development. Experience in AI toolchain, evaluation metrics design, and data management techniques. Experience launching one or multiple AI/ML-powered user-facing products across countries. Knowledge of Android or Pixel development ecosystem. 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. In this role, you will be responsible for leading a research and development team for the i18n expansion for AI features, quality evaluations and rater quality of intelligent applications on Pixel and Android, leveraging the latest on-device and server based models. This includes tasks such as creating auto-raters, ensuring metrics consistency, establishing benchmarks across the set of features and products, working with teams across Google to design and align on appropriate quality and performance bar for AI launches.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 Growing the local team expertise and projects, mentoring team and removing bottlenecks. Improve team's design, code, and engineering practices Interface with cross-functional and remote teams, engineering managers, and stakeholders to to influence cross-team priority and roadmap Ensure a safe and high quality experience for our AI products by crafting evaluation datasets, metrics, and pipelines to understand, evaluate and optimize the behavior of our models, platform and algorithms across languages, locales, and different hardware Collaborate closely with AI feature teams, model developers and researchers to understand evaluation requirements, provide support, and integrate new models and use cases into the evaluation and benchmarks. Identify opportunities, develop strategies, and lead roadmaps to scale country and language capabilities, improve the reliability, scalability, and efficiency of model evaluation processes 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 will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with full-stack development, including back end, such as Java, Python, GO, or C++ codebases, and front end, such as JavaScript, TypeScript, HTML, or CSS. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 5 years of experience with data structures and algorithms in an academic or industry setting. Experience with cloud platform software development, and with Machine Learning or computer vision. Experience in Computer Networking (e.g., Transmission Control Protocol/Internet Protocol (TCP/IP), Routing, Load balancing, etc). Experience with hacking hardware (e.g., Arduino, Raspberry Pi, etc.), and with other technologies (e.g., AS3, OpenCV, Android, Obj-C, etc). Knowledge of System/network administrator for Linux/Unix or other operating systems. 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. Debug is a team of scientists and engineers dedicated to developing solutions for mosquito-borne disease control.In this role, you will be developing technology to raise and release sterile mosquitoes. You will prepare to scale up the mosquito production and release capabilities.Responsibilities Build new full-stack software to orchestrate custom debug automated and manual workflows used in the programs. Develop automation to assist in managing the growing fleet of on-premises Linux and other Operating System servers and Google Cloud Platform (GCP) workloads. Build data pipelines and analytics dashboards to improve the understanding of mosquito production, release, and wild mosquito populations. Drive the adoption of Developer Operations (DevOps) best practices to streamline the development and deployment processes. Work with end users (e.g., Debug team members and partners) to develop requirements and iterate on feedback. 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.

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. ABOUT WORLDQUANT BRAIN:BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data and more to the firm. THE ROLE:WorldQuant is seeking Researchers to join the BRAIN team. BRAIN is WorldQuant’s crowdsourcing initiative that allows anyone in the world with the right skills to become a Quant. Research Create and develop Alphas and other utilization algorithms on BRAIN Conduct research on academic quantitative finance literature Identify and design new research domains. Generate ideas to grow the domain Platform Development Analyze current functionalities available to researchers, identify any issues with the platform and provide solutions and recommendations to the BRAIN team Design and test new functionalities and datasets on the BRAIN platform. Business Development and Consultant Engagement Work with BRAIN Strategy and Operations country heads and other Business Development partners to enhance implement BRAIN business strategy for user and consultant acquisition Conduct training sessions for BRAIN users and consultants Prepare and update training curriculum of BRAIN WHAT YOU’LL BRING: Familiarity and competence in using BRAIN, ex-VRC Research Consultant, or BRAIN Research Consultant preferred Possess or expect a Bachelor’s degree or advanced degree in engineering, science, mathematics, finance or any other related field that is highly analytical and quantitative from a leading university Demonstrated programming experience in one of the following (Java/C++/C/Python/MySQL/SQL Server); knowledge of UNIX preferred Possess a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges Have a strong interest in learning about worldwide financial markets Possess good communication and presentation skills in English 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.

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 MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies. As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it. The Role Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes Manage and mentor a team of engineers, fostering technical excellence and accountability What You'll Bring Bachelor's degree in Computer Science, a related field, or equivalent job experience 6+ years of hands-on industry experience building scalable, high-reliability backend systems Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus Working knowledge of a Unix/Linux environment Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds Solid understanding of data structures, algorithms, and system design trade-offs Relational and non-relational database experience C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts Previous people management experience is a 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software programming in Python or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 years of experience in a core ML domain, including but not limited to generative AI, Natural Language Processing (NLP), computer vision, speech/audio, reinforcement learning, recommendation systems, or ML infrastructure. 3 years of experience with ML infrastructure (e.g., model training, model inference, model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. 5 years of experience with data structures and algorithms; with 2 year of experience in a technical leadership role. Expertise in distributed systems architecture and core programming, paired with a sophisticated, nuanced understanding of LLM capabilities, limitations, and failure modes. Proven track record of deploying and scaling enterprise-grade LLM-backend applications, RAG system, and agentic systems. Knowledge in AI safety, enterprise security, advanced prompt engineering, and scalable model evaluation methodologies. Ability to drive technical consensus and engineering excellence for complex, high-ambiguity 0-to-1 initiatives across multiple teams. 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.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. As a Senior Software Engineer in the Acceleration Platform team in Singapore, you will architect the next generation of AI-native agentic systems designed to eliminate systemic developer toil at a global scale. You will own the technical goal, moving beyond tool-building to define the very paradigms of how self-sustaining AI resolves complex engineering issues. You will navigate high-ambiguity, zero-to-one initiatives, establishing the gold standard for AI engineering excellence and security-by-design while scaling the technical capabilities of the entire organization through high-leverage mentorship.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Lead the design and architecture of highly scalable, fault-tolerant systems where multi-agent networks reason, plan, and execute complex workflows across vast, distributed codebases. Define best practices for the team and broader organization. Blend traditional distributed systems architecture with advanced LLM orchestration, complex Retrieval Augmented Generation (RAG) pipelines, and optimization. Establish the overarching technical strategy for AI quality and safety. Build automated evaluation frameworks that measure performance, enforce strict security standards, and reliably mitigate at scale. Manage the most intricate non-deterministic edge cases. Build advanced telemetry and introspection tooling that allows the entire organization to understand, debug, and optimize self-sustaining behavior. Drive technical alignment across local pods and global organizations. Mentor junior and mid-level engineers, translate extreme ambiguity into actionable technical roadmaps, and shape the future of AI-driven developer productivity. 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.

職位概述： 作為高級人工智慧工程師，您將主導最先進的生成式模型研究、設計與實作，應用於影像與視訊領域。憑藉您在深度學習與生成式 AI 的專業知識，您將推動創新，提升我們的影像與視訊技術能力。 職責： 領導影像與視訊處理的先進演算法開發，包括影像修復、影像生成、超解析度（Super-Resolution）、影像增強、影像分割等。設計並實作影像處理、電腦視覺與深度學習技術，提出創新想法，以提升演算法效能與效率，解決真實世界的數據挑戰。與跨功能的軟硬體團隊緊密合作，優化演算法，以符合設備端的即時運算與記憶體限制，確保高效能運行。主導演算法的評估與優化，確保在多樣化環境與條件下保持穩定且卓越的表現。在軟體系統與平台中整合演算法，並與軟體工程師合作，確保無縫銜接與功能完善。追蹤電腦視覺與生成式 AI 的最新技術趨勢，主動探索並提出創新應用於產品與專案中。指導初級團隊成員，提供影像演算法開發、電腦視覺與深度學習技術的專業建議與支持。Position Overview: As a Senior AI Engineer, you will lead the research, design, and implementation of state-of-the-art generative models for image and video applications. Leveraging your expertise in deep learning and generative AI, you will drive innovation and contribute to the enhancement of our image and video applications. Responsibilities: Lead the development of advanced algorithms for image and video processing, including image restoration, image generation, super-resolution, image enhancement, image segmentation, among others.Drive the design and implementation of image processing, computer vision and deep learning technologies, proposing innovative ideas to enhance algorithm performance and efficiency and to address real-world data challenges.Collaborate closely with cross-functional software and hardware teams to optimize algorithms for efficient on-device real-time implementation, considering both computational and memory constraints.Lead the evaluation and optimization of algorithms to ensure robust performance across diverse environments and conditions.Provide technical leadership in the integration of algorithms into software systems and platforms, collaborating with software engineers to achieve seamless integration and functionality.Stay abreast of the latest advancements and emerging technologies in computer vision, and proactively explore and propose innovative ideas for application in our products and projects.Mentor junior team members, providing guidance and expertise in algorithm development, computer vision, and deep learning technologies.