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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.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: As an NLP Data Engineer at WorldQuant, you will be at the heart of transforming unstructured text into actionable, high‑value insights that power quantitative investment strategies. This is a hands-on, engineering role where you’ll design, build, and scale the data pipelines that underpin our data research. This role is ideal for someone who loves building production systems, enjoys working deeply with text and large language models, and wants their engineering work to empower quantitative research at the firm. You’ll join a highly technical, collaborative environment where you work closely with Research and where your ideas can quickly translate into impact at scale. What You’ll Bring: BSc/M.Sc. from a leading university in Computer Science, Engineering, or related discipline 5 years of demonstrated experience programming scalable and robust software in Python Demonstrated experience building or maintaining data pipelines Basic knowledge of probability and statistical theory Experience working in Linux environments Experience with building and operating ML inference pipelines. Experience with using LLM for structured data extraction. Strong communication skills; ability to express complex concepts in simple terms Experience in the financial services industry is a big plus Knowledge of workflow scheduling techniques (e.g. Airflow) is a plus Prior experience working with text data in a data science/quantitative project environment What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-QM1By 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.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced AI Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services. As a Senior AI Engineer, you will play a leading role in developing our Customer Service Chatbot system, delivering intelligent and seamless support experiences to millions of users.Mô tả công việcDesign, build, and optimize LLM-powered chatbot systems for customer service at scale;Develop and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and agentic workflows for domain-specific performance;Architect conversation flows, intent handling, and dialogue management systems that handle complex multi-turn interactions;Build evaluation frameworks and monitoring systems to measure chatbot quality, detect hallucinations, and ensure response accuracy;Collaborate cross-functionally with product, customer service operations, and engineering teams to continuously improve chatbot capabilities;Write production-grade code and maintain robust, scalable AI systems serving millions of users;Stay current with LLM advancements and evaluate new models, techniques, and tools for potential adoption.Yêu cầu công việc5+ years of experience as an AI Engineer, with at least 2 years focused on LLM applications or conversational AI systems;Deep understanding of LLM architectures, capabilities, and limitations (GPT, Claude, LLaMA, etc.);Experience building chatbot or virtual assistant systems, particularly for customer service use cases;Fintech domain experience is a strong plus;Proficiency in RAG systems, vector databases, embedding models, and prompt engineering techniques;Strong software engineering skills in Python. Experience with LLM tooling (LangChain, LlamaIndex, etc.);Experience with system design for high-availability, low-latency services;Familiarity with evaluation methods for generative AI systems and conversation quality metrics.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 8 years of experience in a technical project management or a customer-facing role. Ability to communicate in English and Vietnamese fluently in order to educate and advocate for Google's products when presenting to Vietnamese clients. Preferred qualifications: 5 years of experience within creative, localization, journalism, public communications or the online marketing/advertising industry. Experience as a Vietnamese translator, linguist, copywriter, writer or editor, with excellent translation and linguistic skills. Experience in project/program management, partner/stakeholder management, with experience working across cross-functional teams and time-zones. Proficiency in leveraging Generative AI to optimize localization quality processes and scale high-quality, culturally resonant content, with an understanding of LLM limitations regarding linguistic/cultural nuance, bias, and factual accuracy. Excellent communication/presentation skills and the ability to manage multiple stakeholders across businesses and leadership levels. About the jobIn gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more). The Localization team helps Google's products and contents look, feel and sound natural to users in their own countries. We collaborate with international Engineering, Product and Marketing teams to steer products through the localization process and ensure successful launches across the globe. In this role, you will play a strategic role by building relationships with partner teams to establish needs, deadlines and quality standards. You will share your project management skills in order to ensure that our Localization process runs effectively and efficiently.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Develop an understanding of market expectations for localization quality and how Google's products fit in the market, and create language strategy to enable native language experience to users. Become a critical partner for the Vietnam-focused teams with stakeholders in Marketing, Product and PR to enable native language experiences for Google’s products for Vietnamese users. Engage regularly with local stakeholders to understand their priorities, and share updates on language strategy and global localization services. Create and evolve Vietnamese language guidelines and language strategy for Google, taking into account input from users, stakeholders, and tech language industry trends. Develop an expert level understanding of the Vietnam market and user expectations for Vietnamese language quality and how to use language to achieve market and user needs. Propose language studies and user insights to ever-improve this understanding. 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 Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: Currently enrolled in a Master's degree or PhD program in Computer Science, Linguistics, Statistics, Applied Mathematics, or a related technical field. Experience in one area of Computer Science (e.g., Large Language Models, Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Software Engineering, etc.). Experience programming in one or more of the following: C/C++, Java, or Python. Preferred qualifications: Currently enrolled in a full-time degree program and returning to the program after completion of the internship. Experience as a researcher, including internships, full-time, or at a lab. Experience contributing to research communities or efforts, including publishing papers in conferences or journals. Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, TF, PAX/JAX, etc.). Ability to design and execute on research agendas. About the jobOur Summer Internships start in late November 2026 and are 12 weeks in duration.To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English.Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.We're constantly refining the signature search engine to provide better results, expanding the scope and utility of the data-analytics systems, enhancing cloud applications and infrastructure, among a broad range of other Google products.At Google, engineers work on search, and they routinely work on scalability and storage solutions, large-scale applications, and platforms for developers.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 Participate in research to develop solutions for problems. Research, conceive, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. 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.

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 testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience in developing and deploying Generative AI agents. Experience with storage systems design, implementation, and management. Experience in natural language processing (NLP), image generation, or other generative AI techniques. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience in text/code embeddings at scale, and with C++ programming language. Experience with infrastructure and building scalable distributed systems. Knowledge of GenAI, RAG, Agents. 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. We work to create a seamless and intuitive exploration agent that accelerates development workflows and fosters knowledge sharing across Google.In this role, you will be at the forefront of next generation code exploration, shaping the future of developer agents, improving the productivity and efficiency of developers and agents across Google, accelerating innovation and product development. You will collaborate with engineers, researchers, and designers across various teams and disciplines, contributing to a critical platform with opportunities for learning, growth, and career development. You will work on a platform that indexes and searches billions of lines of code, serving thousands of Google engineers daily.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 Partner with agent teams (e.g., Gemini Coder, Duckie, Basecamp) to create sub-agents, tools, RAG solutions and workflows enabling them to do better code exploration. Integrate LLMs, RAG skills to augment code search with features like natural language code search, chat agents. Design, develop, and maintain core features of the Google code search platform, used by thousands of engineers daily. Improve the efficiency and scalability of code search infrastructure, ensuring fast response times and high availability. Analyze user data and conduct A/B testing to measure the effectiveness of new features and identify areas for improvement.  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. Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding). Preferred qualifications: Master's degree in Computer Science, or a related technical field. Experience working with one or more of the following: web or mobile application development, Unix/Linux environments, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development. Experience developing accessible technologies. Interest and ability to learn other coding languages as needed. 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 Design, develop, test, deploy, maintain, and improve software. Manage project priorities, deadlines, and deliverables. Take on tasks as requested, following through to completion despite roadblocks or distractions. 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.

Minimum qualifications: Bachelor's degree in Computer Science, or similar technical field of study, or equivalent practical experience. 8 years of experience in software development. Experience with Artificial Intelligence (AI). Experience with Machine Learning (ML). Experience with Natural Language Processing (NLP). Preferred qualifications: 5 years of experience in building AI Agents, Agentic AI, and ML models. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Lead a full-stack team driving key features for one of Google Cloud Platform's (GCP) critical security products. Design, develop, test, deploy, maintain and enhance the platforms. Partner and collaborate with related Engineering teams, Managers, Product management and Program management to ensure the development of high-quality solutions in a timely way. Collaborate, mentor and develop other team members. 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.

Applications will open March 23rd, 2026.Please complete your application by April 23rd, 2026. Note this role is not eligible for immigration sponsorship.At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, or a related technical field. Experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, JavaScript, Go, etc.). Preferred qualifications:Penultimate academic year or returning to a degree program after completion of the internship.Experience programming in three or more of the following languages: C, C++, C#, Java, JavaScript, Kotlin, Go, Python, Typescript or similar.Experience with either web application development, Unix/Linux environments, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software developmentAbout the jobAs a Software Engineering Intern, you will work on our core products and services as well as those which support critical functions of our engineering operations. You will develop and present ideas, striving for an understanding of our products to continually improve upon them. We focus on being a collaborative, global organization consisting of engineers with technical depth, programming skills, and a keen eye for quality.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 Research, create, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to massive amounts of data and information. Work in and support a productive and innovative team with peers, managers, and cross-functional teams. 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.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced QC/QA Engineer to join our growing technology team. At MoMo, we build innovative solutions across product recommendation, personalization, conversational systems, eKYC, risk scoring, fraud detection, promotion targeting and financial services. As a QC/QA Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in ensuring the quality, reliability, and performance of our advanced conversational AI systems. This position offers a unique chance to make a significant impact by developing comprehensive testing strategies for Generative AI and Large Language Models, ensuring seamless and accurate interactions for millions of users. Join us in maintaining the highest standards of quality while pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcCreate/Modify test-related artifacts (test cases, test report, test plans).Track and control testing progress, and report to TL about any quality problems/issues of the project.Perform all phases of testing including functional, system and regression testing.Participate in peer review and inspect requirement documents.Prepare test data and environment as needed to complete testing assignments.Have a proactive and good work relationship with other team members.Analyze and raise the issues, propose the solution to improve the system.Yêu cầu công việcDegree in Computer Science or related fields5+ years experiences in manual test Web, App MobileExperience in QC of highly scalable, distributed and high-performance applications as APIs, Adhoc Test.Ability to hands-on testing in multiple projects, Integration Test and developing test cases, test planHave knowledge and experience in API testing (Postman tool), Query Databases, Performance test (Jmeter)Good knowledge of databasesGood knowledge of software development methodologiesGood analytic skills and mindsetMotivated and ability to work overtimeTeamwork spiritExperience in automation testing for web apps, mobile is a big plus.

Minimum qualifications: Currently enrolled in a PhD program in Computer Science and Engineering, Machine Intelligence and Data Science, AI, or a related technical field. Experience in one or more areas of Machine Learning (e.g., Large Language Models, Deep Learning, Natural Language Understanding, Computer Vision, etc.). Experience programming in Python. Preferred qualifications: Currently enrolled in a full-time degree program and returning to the program after completion of the internship. Experience as a researcher, including internships, full-time, or at a lab. Experience contributing to research communities or efforts, including publishing papers in conferences or journals. Experience with one or more ML frameworks (e.g., TF, JAX, Flax, etc.). Experience working with big-data or training a foundational model. Ability to design and execute on research agendas. About the jobResearch happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps, and Google Now, and is central to the success of Google Cloud and our computing, storage, and networking infrastructure.Research Interns work with Research Scientists and Software Engineers to discover, invent, and build at scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. You are also expected to contribute to the wider research community by publishing papers.This research internship is part of AI Innovation and Research (AIR), the applied research arm of Platforms and Devices organization. Within AIR, we focus on both foundational research and AI solutions to deliver the next generation of products in Platforms and Devices. This involves collaborating with Android, Chrome, XR, Home and other teams within Platforms and Devices.Our work encompasses—but is not limited to—on-device intelligence, foundational models, privacy, performance optimization for resource-constrained environments, novel ML architectures and AI-driven product experiences.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 Participate in research to develop solutions for problems. Research, conceive, and develop ML solutions to accelerate different teams in platforms and devices. Contribute to deeper understanding of limitations of ML architectures, trade-offs and optimizations. Lay down the next steps for adoption of the research into next generation product development. 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.