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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: PhD degree in Computer Science, a related field, or equivalent practical experience. One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: Experience in a university or industry labs, with primary emphasis on AI research. Understand of transformer architecture internals. Ability to drive new research ideas from problem abstraction, designing solution, experimentation, to productionisation in a rapidly shifting landscape. Excellent technical leadership and communication skills to conduct multi-team cross-function collaborations. Passionate for deep/machine learning, computational statistics, and applied mathematics. About the jobAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research Singapore is the very latest addition to the Google Research presence around the globe! As a Research Scientist, you will be making significant breakthroughs towards Computational Efficiency of large-scale Generative AI Models (LLMs, Diffusion Models, Generative Videos).Through foundational research, the team will deliver research on algorithmic efficiency, model compression, and inference acceleration, directly impacting how next-generation AI models will be deployed to billions of people.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Responsibilities Advance algorithms, sampling techniques and large-scale optimization to make serving and inference of generative AI models more efficient and flexible.This includes model compression, knowledge distillation and quantization strategies. Innovate algorithms and large language model architectures that improve computation efficiency and generalization of training deep learning models. Improve the end-to-end model deployment pipeline that includes entirely new formulations of pretraining, instruction tuning, reinforcement learning, thinking and reasoning. Collaborate with hardware and software teams to optimize kernels and inference engines, across different hardware and model architectures. Optimize latency, memory bandwidth, workloads. 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: PhD degree in Computer Science, a related field, or equivalent practical experience. 2 years of experience leading a research agenda. One or more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: 5 years of experience in driving new research ideas from problem abstraction, designing solutions, experimentation, to productionization in a rapidly shifting landscape. Understanding of transformer architecture internals. Passion for deep/machine learning, computational statistics, and applied mathematics. Excellent technical leadership and communication skills to conduct multi-team cross-functional collaborations. About the jobAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research Singapore is the very latest addition to the Google Research presence around the globe.As a Research Scientist, you will be making significant breakthroughs towards Computational Efficiency of Generative AI Models (e.g., LLMs, Diffusion Models, Generative Videos). Through foundational research, you will deliver research on algorithmic efficiency, model compression, and inference acceleration, directly impacting how next-generation AI models will be deployed to billions of people.Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Responsibilities Advance in algorithms, sampling techniques and optimization to make serving and inference of generative AI models more efficient and flexible.This includes model compression, knowledge distillation and quantization strategies. Innovate algorithms and large language model architectures that improve computation efficiency and generalization of training learning models. Improve the model deployment pipeline that includes entirely new formulations of pretraining, instruction tuning, reinforcement learning, thinking and reasoning. Collaborate with Hardware and Software teams to optimize kernels and inference engines, across different hardware and model architectures. Optimize latency, memory bandwidth, and workloads. 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 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. ResponsibilitiesWork 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. designsBuild cross-functional relationships across Google Pay teams of Platforms, Product, Trust, Safety, Risk, Marketing, Design and ContentOwn 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. 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. 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. 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: PhD degree in Computer Science, a related field, or equivalent practical experience. 4 years of experience in a university or industry labs, with Artificial Intelligence (AI) research. One of more scientific publication submissions for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: Experience with deep/machine learning, computational statistics, and applied mathematics. Knowledge of transformer architecture internals. Ability to drive new research ideas from problem abstraction, designing solutions, experimentation, to productionisation in a rapidly shifting landscape. Excellent technical leadership and communication skills to conduct multi-team cross-function collaborations. About the jobAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. Google Research Singapore is the very latest addition to the Google Research presence around the globe! In this role, you will be making significant breakthroughs towards Computational Efficiency of large-scale Generative AI Models (LLMs, Diffusion Models, Generative Videos).Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.Responsibilities Advance algorithms, sampling techniques and large-scale optimization to make serving and inference of generative AI models more efficient and flexible.This includes model compression, knowledge distillation and quantization strategies. Innovate algorithms and large language model architectures that improve computation efficiency and generalization of training deep learning models. Improve the end-to-end model deployment pipeline that includes entirely new formulations of pretraining, instruction tuning, reinforcement learning, thinking and reasoning. Collaborate with hardware and software teams to optimize kernels and inference engines, across different hardware and model architectures. Optimize latency, memory bandwidth, workloads. 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.

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 looking for an exceptionally talented software engineer intern to join our team. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. You will be working with Quants very closely to develop, enhance, and support cutting-edge tools and systems that drive data decision making. The role provides a unique opportunity to gain exposure to full lifecycle of quant finance. Assist in developing and optimizingdata infrastructure that powers our quantitative research and trading strategies . Help design and implement computational frameworks that execute our quantitative models and strategies. Work with Quants to understand their needs and provide technical solutions that enhance their workflow. What You’ll Bring Currently pursuing a Bachelor’s orMaster’s degree in Computer Science, Engineering, Data Science Python programming proficiency Familiarity with data structure and algorithms Strong understanding of software development principles and methodologies Excellent communication and interpersonal skills Interest in finance, quantitative tradingor financial data a plus Internship duration - at least a 3 months' commitment for the period June to December 2026 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 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.