Solve Intelligence jobs

Regulatory Intelligence Specialist Sunnyvale, CA, United States Company Description: It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide. We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life. If you're ready to contribute to something bigger than yourself and help transform the future of healthcare , you'll find your purpose here. Job Description: Primary Function of Position Responsible for the collection, coordination, and summary of global regulatory intelligence that pertains to the company and our portfolio. Manage internal intelligence communications and act as SME for RI database; collaborate with global partners to coordinate and collect updates from their specific regions. Essential Job Duties Solid understanding of how to analyze regulatory intelligence and translate it into clear implications for product development, clinical strategy, submissions, and lifecycle management. Help establish and refine internal regulatory intelligence processes and best practices. Evaluate and

Business Intelligence Developer I, Google Cloud Mexico City, CDMX, Mexico Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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, The Performance and Continuous Excellence (PACE) Intelligence team is the global Business Intelligence (BI) foundation of Google Cloud, designed to accelerate sales growth through AI agents, advanced reporting, and streamlined performance management. We are responsible for building the semantic source of truth for the business, delivering reporting capabilities that serve over 10,000 sellers across the cloud Go-to-Market (GTM) organization. By empowering GTM and Regional teams with scalable insights, a resilient data layer, and innovative Key Performance Indicators (KPIs), we enable our sellers to deeply understand their book of business and bring the very best of Google to their customers. Ultimately, our mission is to drive business success and execute our cloud strategy through an insights-led ecosystem of dashboards, agents, and expert analysts. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's 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. Transform data into actionable insights by developing data

Senior Business Intelligence Engineer, UK Insights and Innovation London, England, GBR Do you enjoy transforming data into actionable insights and taking a data-driven approach to solving complex business problems? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence solutions? UK Insights & Innovation (I&I) is looking for a proactive Business Intelligence Engineer with strong technical and analytical skills to join our lean, high-impact team in London. UK I&I is the central insights and innovation team for UK Stores. We identify and act on the highest-impact opportunities where deep UK market understanding and rigorous experimentation drive measurable business results. Key job responsibilities - Design, implement, and support key datasets that provide structured and timely access to actionable business information - Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards that support our business needs and enable self-service analytics - Lead projects and business discussions that share insights, challenge status quo, and provide forward-looking recommendations to enable decision making across UK priorities - Drive experimentation strategy and execution, including designing and analyzing A/B tests, building measurement frameworks, and translating experiment results into actionable business recommendations - Deep dive into large data sets to answer key business questions using SQL, Python, and other data manipulation languages; develop UK-specific analytical models that inform experiment design - Partner with cross-functional teams to identify white space opportunities, design rigorous experiments, and own end-to-end measurement of innovation initiatives About the team UK Insights & Innovation obsesses over the

Business Intelligence Engineer, Amazon Bengaluru, Karnataka, IND Are you passionate about building data-driven solutions to drive the profitability of the business? Are you excited about solving complex real world problems? Do you have proven analytical capabilities, exceptional communication, project management skills, and the ability to multi-task and thrive in a fast-paced environment? Join us a Business Intelligence Engineer to deliver analytics solutions for Amazon Payment Products. Amazon Payment Products team creates and manages a global portfolio of products, including co-branded credit cards, instalment financing, third party redemptions, etc. Within this team, we are looking for a Business Intelligence Engineer responsible for performing analysis on large volumes of data which includes building data pipelines, dashboards, synthesizing the analysis into business insights and communicating the findings to various stakeholders. To be eligible, the candidate must possess superior written and verbal communication skills too, in addition to proven analytical skills. Key job responsibilities - Identify, develop and execute data analysis to uncover areas of business opportunity - Learn and understand a broad range of Amazon's data resources and know how, when and which data sources to use - Deep dive into massive data sets, build data pipelines using SQL, dashboards using QuickSight, data self-service using Generative/Agentic AI products like Quick Suite - Present insights and recommendations to key stakeholders in both verbal and written form - Manage and execute entire project from start to finish including problem solving, data gathering and manipulation, predictive modeling and project management Basic Qualifications: - Undergraduate degree in

Business Intelligence Engineer, eCS Data Engineering and Analytics Bengaluru, Karnataka, IND Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon's eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon's products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon's customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play

Sr. Business Intelligence Engineer, AWS GDSP A&I Seattle, Washington, USA Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in North America, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. As a member of this team, you will harness your skills to understand business requirements, create performance metrics, conduct data analysis, provide insights, recommend actions, build analytical models for hypothesis testing, create forecasting models, build self-service dashboards and visualization, drive automation and process improvements, to help the Private Pricing leaders and teams to achieve their goals. The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards. The ideal candidate will be a

Business Intelligence Engineer, IMDb Seattle, Washington, USA Do you love working with big data to derive new and actionable insights? Do you have a passion for Entertainment? If so, come join IMDb! With over 250 million monthly users, IMDb is the world's most trusted source for movies, TV, and celebrities. IMDb sits at the intersection of entertainment, media, and technology, inside the world's most innovative and customer-centric company - Amazon. The data and insights our team provides power all IMDb properties and feeds directly into the Amazon flywheel. As IMDb employees, we enjoy the best of both worlds - all benefits and resources of Amazon with the autonomy and impact of a small, nimble team. IMDb is looking for an experienced and motivated Business Intelligence Engineer (BIE) to unlock key industry insights and trends. As an analytics leader on our team, you will work closely with Product Managers, Finance Leaders, Marketing Managers, Data Engineers, Data Scientists, and Software Development Engineers to solve unique and challenging problems. You will leverage your intellect, curiosity, analytical rigor, and technical ability to develop innovative solutions to real-world problems. You will harness the power of AI to accelerate understanding and unlock key insights informing business strategy and investment. You will dive deep into existing and new data sources to create unique and actionable insights to best serve our diverse global population of entertainment fans, professionals, advertisers, contributors, and data licensees. Key job responsibilities - Partner with cross-functional teams to solve complex business problems and deliver

Sr. Business Intelligence Engineer , AWS GDSP 3PX Seattle, Washington, USA Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business priorities can transform an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a dynamic environment working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The Private Pricing Analytics and Insights team is a critical part of enabling the AWS Private Pricing business to achieve the highest standards of excellence for WW Commercial Operations. This role, based in London, will focus on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills, strong business acumen and a deep analytical background to provide performance reporting, actionable insights and decision support. In this role, you will partner with Private Pricing leaders and teams by leveraging your analytical expertise to transform business requirements into actionable solutions. You'll develop a deep understanding of the AWS Private Pricing business to drive insights that are relevant and actionable. Your responsibilities will include building analytical and forecasting models, creating intuitive self-service dashboards and visualizations, and implementing automation solutions that drive process improvements across the organization. The individual must have the ability to communicate effectively across multiple technical and non-technical business units, as well as across other geographies. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions,

2026 Business Intelligence Engineer Internship Madrid, Community of Madrid, ESP - This is a 6 month Internship - Business Intelligence Engineer 2026 - Spain We're on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you're ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you'll say it often. Join us and define tomorrow 2026 Business Intelligence Engineer Internship - Spain Do you enjoy solving complex problems and troubleshooting products? Are you passionate about developing test strategies, finding, and tracking bugs to resolution, and innovating on behalf of customers? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet? At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The intense focus we have on our customers is why we are one of the world's most beloved brands - customer obsession is part of our company DNA. Business intelligence engineers use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges business intelligence engineers solve for at Amazon are big and affect millions of customers, sellers, and products around the world. Our path is not always simple, so

Senior Business Intelligence Engineer, Amazon Customer Service Seattle, Washington, USA Have you ever thought about what it takes to provide millions of customers with help across hundreds of social handles, globally, while protecting their privacy and security? The Customer Service - Social team within Amazon Customer Service (CS) is looking for a Sr. Business Intelligence Engineer (BIE) who is passionate about translating business problems into business insights, and can thrive working in a diverse, global team. Key job responsibilities - Define the organizations business intelligence strategy, and influence the architectural decisions. - Provide business intelligence solutions that solve complex problems for the organization, and inform multiple business decisions. - Build a robust, extensible, and scalable reporting structure. - Contribute to business reviews, and communicate effectively with leadership audiences. - Define, and iterate on data strategies that cross multiple CS teams. - Drive best practices in operational excellence, data modelling, and analysis. - Hire, mentor, and develop others A day in the life As a Sr. Business Intelligence Engineer within Customer Service - Social, you're helping us understand current, and past customer behavior, to influence the solutions we build to deliver the best future experience. You're constantly identifying ways in which we can improve our understanding of the business, to make faster, more confident decisions. About the team Social is a fast-paced, ever-evolving world, where new features and channels launch constantly, and customers' behavior varies by social media app, demographic, and the type of support they need. Customer Service - Social

Applied Scientist, Agentic Automated Reasoning Group Seattle, Washington, USA The Agentic Automated Reasoning Group is pioneering the next generation of neuro-symbolic tools-fusing breakthroughs in artificial intelligence with the scale of the cloud and our deep expertise in automated reasoning. If you're driven to push the boundaries of what's possible at the intersection of learning and logic, join us and help shape this transformational initiative. The Automated Reasoning checks team is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning, GenAI, and Agentic AI at cloud computing scale. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills and own the delivery of high-quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As an Applied Scientist in the Agentic Automated

Senior Applied Scientist, Agentic Automated Reasoning Group New York, New York, USA The Agentic Automated Reasoning Group is pioneering the next generation of neuro-symbolic tools-fusing breakthroughs in artificial intelligence with the scale of the cloud and our deep expertise in automated reasoning. If you're driven to push the boundaries of what's possible at the intersection of learning and logic, join us and help shape this transformational initiative. The Automated Reasoning checks team is looking for a Senior Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning, GenAI, and Agentic AI at cloud computing scale. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills and own the delivery of high-quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As a Senior Applied

Research Engineer, Multi Agent Learning, DeepMind London, UK At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Contribute to the creation of novel multi-agent learning algorithms and frameworks, with a focus on performance and scalability in Just-In-Time (JIT) compilation, Autograd, and XLA (JAX). Build and maintain large-scale simulation platforms and end-to-end research pipelines to run experiments on

Applied Scientist, Devices & Services Tübingen, Baden-Wurttemberg, DEU Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts millions of people? Answer yes to any of these and you'll fit right in here at Amazon, where you'll apply cutting-edge advances in artificial intelligence, computer vision, machine learning, and robotics to solve real-world challenges that transform customer experiences. You'll collaborate with a team of skilled problem-solvers who are passionate about pushing the frontier of intelligent systems and delivering innovative solutions at scale. We are looking for skilled individuals with a strong bias for action and deep technical knowledge to join our team in Tübingen. As part of Amazon Devices & Services, you'll engage with novel innovative devices and complex, large-scale problems that require both technical depth and creative thinking. Your work will span across computer vision, machine learning, robotics, and AI applications. You'll find yourself navigating ambiguity, collaborating with colleagues across disciplines, and contributing to projects that shape the future of intelligent systems. Beyond your core technical work, you'll participate in cross-functional discussions, share insights with your team, and help establish best practices. We are a collaborative team of doers committed to researching and developing intelligent systems that matter. Our vision is to pioneer the application of AI, computer vision, machine learning, and robotics to create meaningful customer impact. You'll work alongside colleagues who are equally passionate about solving hard problems and thrive in a startup-like environment

Senior Hardware Operations and Robot Repair Lead, DeepMind Mountain View, CA, USA As a Senior Engineering Operations Lead, you will own the physical health and operation of our growing robotic fleet. You will start by mastering a humanoid platform-performing deep-dive repairs and preventative maintenance-to develop the gold standard for service operations. Your ultimate goal is to transform "fixing robots" into a scalable, standardized global maintenance system that can be applied to our growing fleet of robotics, including the latest humanoids from across our partner ecosystem. Managing a small team of experts, you will define what excellence looks like and demonstrate how it can be applied at scale. Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target

Product Manager, Math Agents, DeepMind (Fixed Term Contract) London, UK As a Product Manager on the Science team, you will work directly with research scientists, engineers, and cross-functional product development teams to define the product strategy, goal, and execution for our math agents portfolio. In this role, you will play a critical role in building and scaling these agentic systems, bridging frontier research in automated reasoning and autonomous mathematical exploration with real-world mathematical issues. You will lead the development and deployment these systems, while also steering grand issues and research efforts across the broader maths space. You will sit at the intersection of research and product, and requires technical depth, strategic insight, an ability to navigate ambiguity, and an approach to prototyping and validation. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Drive the product strategy, requirements, and execution for the math agents portfolio, guiding initiatives across agentic maths research and formal proving like AI co-mathematician, AlphaProof, AlphaProof Nexus, and more. Incubate new agentic capabilities and identify

Executive Policy Engagement Lead, DeepMind London, UK In this role, you will be an experienced leader to co-design and scale DeepMind's Executive Policy Engagement function. You will help to set and drive the strategy for how DeepMind's executives build trust with governments and policymakers. You will own long-term engagement plans, brief and staff our executives for high-stakes events, and help to build an executive policy engagement function. You are an autonomous leader with advisory experience, operating expertly at the intersection of policy, communications, and executive management. You will collaborate closely and build trust with leaders in partner teams, including Communications and multiple executive offices. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Partner with leadership to build the executive policy engagement function. Own, design, and execute bespoke, long-term engagement strategies for our growing executive portfolio. Serve as the primary on-the-ground counsel for executives during international travel, providing real-time political insights and navigating stakeholder dynamics at major global forums. Draft researched briefing materials, speech content, and policy narratives to ensure

Staff Software Engineer, Machine Learning, GeminiApp Personalization, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. In this role, you will be focused on building Google's next-generation AI assistant. You will empower billions of people by offering personalized products that serve as a seamless extension of their intellect. You will help build a personal AI assistant that continuously absorbs, organizes, and effortlessly recalls the unique interests, passions, and curiosities of individuals, evolving alongside them to amplify their everyday thinking. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit

Talent Management Partner, DeepMind (Fixed-Term Contract) London, UK; +1 more Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve global issues and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target Learn more about benefits at Google . Craft and implement talent management strategies aligned with business objectives to boost talent engagement, career and performance. Collaborate closely across People and Culture (P&C), with Google counterparts, and executive leaders to assess talent needs and develop innovative, scalable talent solutions that deliver value without adding complexity. Leverage data and analytics to assess the impact of talent initiatives and make data-driven recommendations, in line with business priorities. Drive change management efforts related to talent initiatives, ensuring smooth adoption and integration into the organization. Function as a trusted thought partner, sharing industry insights to guide focus and decisions across talent and performance portfolio. Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in talent management, organizational development or HR. Preferred

AI Deployment Engineer, Organizational Engineer, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target

Business Intel Engineer, GO-AI Hyderabad, Telangana, IND Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. As a Business Intelligence Engineer on GO-AI's Technology & Development Team, you'll work with cross-functional teams (Science, Software, Data, BIE) managing massive-scale, proprietary datasets to develop foundation models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon's global fulfillment network. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. Key job responsibilities • Support leadership decision-making by deep-diving into business hypotheses and anecdotes. • Design and automate ETL

Fullstack Software Engineer, GenAI, DeepMind Mountain View, CA, USA At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target +

Senior Software Engineer, FinAuto - Receivables Tech Hyderabad, Telangana, IND Amazon's Accounts Receivable Technology team, part of FinAuto (Finance Automation), is transforming financial operations through next-generation automation. We process trillions in annual transactions across every Amazon business worldwide, including AWS, Stores, and Digital. Our team is building intelligent systems that optimize the entire order-to-cash lifecycle, from sales through billing and collections. As Amazon's financial operations grow exponentially with business expansion, traditional approaches to scaling through human operations are no longer sufficient. Our team is at the forefront of solving this challenge through innovative automation solutions that combine artificial intelligence, machine learning, and enterprise-grade workflows to transform how financial operations work. The Finance Automation Receivable Tech team is looking for a smart, motivated, and results-oriented Senior Software Development Engineer (SDE 3) to architect, build, and operate software systems. We're looking for engineers who want to build GenAI/LLM-powered solutions that solve real customer problems at Amazon scale. Think AI-driven financial workflows, intelligent reconciliation, and automation that replaces manual operations with machine intelligence. The problems you'll solve don't come with a predefined technology strategy. You'll design and deliver solutions using AWS-native services and AI/agentic patterns, that solve real customer problems at Amazon scale. You'll iterate fast, ship incrementally, and raise the engineering bar for your team through exemplary code, pragmatic design, and mentorship. You own the architecture and the code. Key job responsibilities - Lead projects requiring work from multiple engineers - owning end-to-end design, integration of parallel work, and delivery across the

Front-End Engineer II, Lambda Developer Experience Seattle, Washington, USA Do you aspire to be a world class front-end engineer, and learn from experts in the field? Are you passionate solving user interface and UX problems in a large scale environment? Do you want to be a part of a fast-paced organization and contribute to one of the most visited sites on the Internet? At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the world's most beloved brands - customer obsession is part of our company DNA. Business intelligence engineers use latest technology to solve complex problems and get to see the impact of their work first-hand. The challenges business intelligence engineers solve for at Amazon are big and impact millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon - someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years. Come chart your own path at Amazon. Note: By applying to this position, your application will be considered for all locations we hire for in the United States including but not limited to: Seattle/Bellevue, WA; Nashville,