Solve Intelligence jobs

Game Designer, Games, Inception, DeepMind London, UK DeepMind has long-established connections with gaming, whether through early AI-breakthroughs mastering Atari games or Starcraft, and more recent research with Genie and SIMA agents. We are looking for a Game Designer with a deep understanding of core systems, player psychology, and interactive storytelling to help us architect a new generation of breakthrough experiences. If you are a systems-thinker who views AI not just as technology, but as a brand-new design material, we want you on the team. Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable and different portfolio of early stage, design focused projects, with a focus on breakthrough experiences that wouldn't be possible without AI. Your mission is to design core loops, mechanics, and gameplay systems that would be fundamentally impossible without AI. You will be the creative glue bridging the gap between machine learning research and player-facing fun. As a Game Designer, you will advocate a "show, don't tell" culture by translating abstract AI capabilities into tangible game prototypes. You will collaborate with cross-functional teams to define player agency, map out system dynamics, and steer creative ideation sessions that push the boundaries of modern game design. 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

Senior Staff Software Engineer, Agentic Data Tooling, DeepMind New York, NY, USA; +2 more 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. Shape the future of AI by building the core infrastructure and tooling that powers Gemini's agentic capabilities. Through advanced data curation and creation, you will drive the development of next-generation evaluation frameworks: SmithBench: Our gold-standard benchmark testing whether AI agents can autonomously execute complex, end-to-end, first-party Google engineering workflows (such as CL lifecycles, bug investigations, and pipeline orchestration). RE-Bench: Our benchmark designed to measure agent performance on highly complex, long-horizon research engineering tasks. Whether you are designing environments to record programmatic agent-API interactions or building computer-control systems to capture real-time human and model trajectories, your tooling will deliver the foundational training and evaluation data that accelerates AI capabilities across models, harnesses,

Staff Software Engineer, Gemini Evals, GenAI, DeepMind Mountain View, CA, USA; +1 more 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 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: $207000 - $301000 (USD) + 20%

Sr. BIE, EMXO PLX Bengaluru, Karnataka, IND Hundreds of millions of customers, billions of transactions, petabytes of data… How to use the world's richest collection of e-commerce and device usage data to acquire new customers, drive engagement and grow Prime - ultimately to drive the growth engine for our customers across all the Emerging markets. Amazon's Emerging Markets Prime, Lifecycle & XCM team (EMXO PLX) team seeks a Sr. Business Intelligence Engineer focusing on solving strategic & complex problems to help build linkages on what drives customer growth in sync with the various marketing initiatives, incentivization programs, store inputs and ultimately build frameworks which will help improve our investment strategies to make them more efficient and effective. At the core of it, we focus on building intelligence on how much to invest, where and what is the ROI while we invest millions of dollars across all EMs and keep a track on customer growth outcomes. Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities. As a Sr. BIE in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as use statistical and machine learning techniques. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver

Senior Software Engineer, Vertex 1P GenAI SRE Warsaw, Poland Vertex 1P GenAI Site Reliability Engineering (SRE) is looking for individuals passionate about shaping the future of artificial intelligence, Generative AI and machine learning platforms while driving production excellence including reliability, scalability and performance through sound SRE principles. You will have the opportunity to collaborate closely with a global team of SREs and developers to solve large and complex problems while building and supporting groundbreaking AI/ML tools that enable both internal and Google Cloud customers to thrive with game-changing artificial intelligence built on the rapidly growing Vertex GenAI platform. Vertex AI is a key pillar to the Cloud AI's mission to responsibly deliver AI that enables industries and organizations to transform and solve real-world problems through a single unified artificial intelligence platform that enables building, deploying, and scaling ML models faster with either pre-trained and custom tooling. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Poland: zł364000 - zł374000 (PLN) + 15% bonus target + equity + benefits Learn more about benefits at Google . Improve and ensure reliability of Vertex AI products and services. Develop/Influence scalable and sustainable system architecture and designs for products, services and enhancements. Help define strategy and set direction for Vertex AI services to increase reliability, efficiency and ultimately feature velocity. Lead efforts to adopt infrastructure and standards (P2020, Cloud Horizontals, etc.) for Vertex AI. Resolve outages or service disruptions and help design solutions to ensure systems are protected

Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Senior Applied Scientist, Neuro-Symbolic AI Labs Boston, Massachusetts, USA We are looking for researchers who aim to build super-intelligent AI systems that leverage proof assistants to guide learning and reasoning. Our neuro-symbolic AI technology is applied across a wide range of science and engineering domains within Amazon, and you will join the team at the forefront of this research. As an Applied Scientist here, you will play a pivotal role in shaping the definition, vision, and development of product features from beginning to end. You will: * Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems. * Work in an agile, startup-like development environment, where you are always working on the most important stuff. * Deliver high-quality scientific artifacts. About the team We work closely with academia. Our team includes an Amazon Scholar in mathematics, and we maintain active research collaborations with faculty at leading CS departments (MIT, Berkeley, CMU). Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and

Software Development Manager, Emerging Devices Software Bengaluru, Karnataka, IND Join us in building the future of personal devices at Amazon! Are you ready to shape the future of how people experience technology in their everyday lives? Join us in building the next generation of personal devices - where hardware, software, and AI converge to create experiences that feel like magic. The Emerging Devices Software (EDS) organization is pioneering intelligent software solutions that power Amazon's Personal Devices, including Smart Eyewear and other emerging wearable categories. Our mission is to create seamless, AI-driven experiences that live at the intersection of hardware, software, and artificial intelligence - redefining how customers interact with technology in their daily lives. We're building the future of personal devices while maintaining Amazon's highest standards for quality, reliability, and customer obsession. The personal devices challenge is a fascinating blend of real-world complexity and technological innovation. We're tackling multidimensional problems that span mobile applications, cloud services, on-device intelligence, and hardware integration - all while delivering best-in-class user experiences to customers around the world. From optimizing low-latency interactions on constrained wearable hardware to building scalable cloud backends and integrating ML/AI capabilities, every problem we solve pushes the boundaries of what's possible. We are looking for a seasoned Software Development Manager to lead an engineering team within EDS, solving these intricate challenges. You'll work on software that span the mobile-cloud stack, own end-to-end delivery of features and experiences, and help shape the long-term technical direction of our products. Key job responsibilities -

Software Engineer III, AI/ML, Search News Intelligence Mountain View, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at 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 deliver high-quality, fresh web and social content for user journeys on Google Search. You will be a power key Search Results Page (SRP) features like Top Stories and the News Tab, and enrich Artificial Intelligence (AI)-driven experiences such as Artificial Intelligence (AI) Overviews (AIO) and Artificial Intelligence (AI) Mode (AIM). In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on.

People and Culture Tech and Operations Partner, DeepMind (Fixed-Term Contract) London, UK 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. 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. Lead management of complex, matrixed organizational frameworks to ensure seamless alignment with evolving business requirements. Identify and seize opportunities to transform manual processes into automated workflows that enhance GDM's effectiveness Advocate workforce data integrity, ensuring our records remain a single source of truth. Translate visionary business needs into precise, actionable specifications for Engineering to build long-term automated infrastructure. Identify system patterns that signal potential risks and implement solutions to address the underlying root causes. Minimum qualifications: Bachelor's Degree in Human Resources or equivalent practical experience. 6 years of experience in HR Generalist, HR Specialist or HR Consulting. Preferred qualifications: Experience in People Analytics and HR Engineering. Experience in Change Management for large-scale programs.

Machine Learning Engineer, AWS Applied AI Solution Seattle, Washington, USA As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accelerate our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-the art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment architectures. You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team. What You'll Do • Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems • Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance • Establish scalable, efficient, automated processes for

Associate Director, International Market Analytics and Business Intelligence, Migraine Mettawa, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: The Associate Director , International Market Analytics and Business Intelligence (IMABI) plays an essential role in driving insights for the Migraine prevention franchise and ensuring continued successful launches and uptake for Aquipta in our OUS markets. The AD will ensure market and stakeholder insights drive informed strategic and operational decisions for the brands. She/He will lead Business Intelligence and Analytics activities (primary market research, launch KPIs and market & brand performance tracking, and competitive intelligence) and be responsible for generating new and credible insights to support actionable recommendations that address key business needs and objectives. The Associate Director will manage all aspects of Business Intelligence, including project planning, initiation of the RFP process, Vendor Selection, Study Design, Contract Execution and Budget Management Key Responsibilities Include : Serve as the IMABI lead for the Migraine prevention assets. Responsible for partnering strategically with International, Area and Affiliate leadership, guiding brand and co positioning strategies. Drive using an

Research Engineer, Security and Privacy, DeepMind New York, NY, USA; +1 more 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. The frontier of agentic capabilities is defined by empirical limits; we push models there systematically. As a core engine of the Gemini development cycle, we leverage automated red-teaming to expose sophisticated adversarial vulnerabilities and elucidate distinct failure modes. Our evaluations power the primary leaderboards that model training climbs against. By rigorously measuring failing modes, we directly shape defensive mitigations and steer the broader optimization space. 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

Business Intelligence Engr II, Regulatory Intelligence Safety and Compliance, Global Data Analytics Bengaluru, Karnataka, IND If you have ever bought a product from Amazon, then chances are Regulatory Intelligence Safety & Compliance has helped protect you as a customer. The global analytics team is looking for a data ninja to join an exciting team defining a global roadmap to design and deliver impactful solutions for Amazon retail team World Wide. This role will focus on protecting customers when we sell products that come under the digital services act. We are seeking a highly motivated Business Intelligence Engineer with a passion to work with complex problems to create the best user experience for all stakeholders. You are passionate about providing insights from data and have experience in working with large data sets. You are organized, efficient and insist on the highest standards. You are an independent self-starter who thrives on owning projects. You will be required to make important decisions on defining, building, and scaling data processes and reports. You will work directly with stakeholders and other data and tech professionals to solve ambiguous problems. Key job responsibilities • Create mechanisms for non-technical stakeholders to self-serve data including during urgent issue management • Scope and deliver strategic projects to accelerate the success of the safety programs supported • Look for opportunities to simplify and automate redundant processes • Take the problems of stakeholders and help them understand technical solutions which can be delivered • Leverage a combination of AWS services, internal

Sr. Applied Scientist, Amazon Cyber Threat Intelligence Annapolis Junction, Maryland, USA We are seeking a Senior Applied Scientist to pioneer the application of artificial intelligence and machine learning to cyber threat intelligence at Amazon scale. In this role, you will invent and deploy novel AI/ML systems that automate threat detection, accelerate intelligence analysis, and enable proactive defense capabilities. You will work on ambiguous, scientifically-complex problems where traditional engineering approaches fall short-from building predictive models that score threat likelihood against Amazon's specific attack surface, to developing graph neural networks that cluster adversary infrastructure, to creating LLM-powered systems that multiply analyst productivity. This is a unique opportunity to bring scientific rigor to one of the most consequential problem domains in technology-protecting hundreds of millions of customers and the infrastructure that powers the global economy. You will be the first Applied Scientist embedded within ACTI, establishing the science agenda and building the foundation for AI-driven threat intelligence at Amazon. This position requires that the candidate selected be a US Citizen. Key job responsibilities Invent • Identify, frame, and solve scientifically-complex threat intelligence problems where no textbook solutions exist-including threat scoring, malware classification, infrastructure clustering, and intelligence automation • Drive the scientific agenda for AI/ML within ACTI by proposing research initiatives, defining success metrics, and securing management buy-in • Extend and invent machine learning techniques for cybersecurity applications, including anomaly detection on noisy data, few-shot learning for emerging threat families, and graph-based reasoning over attacker infrastructure • Publish research at peer-reviewed venues (e.g., USENIX

Executive Policy Engagement Manager, DeepMind London, UK In this role, you will drive the implementation of our executives' policy engagement strategies, develop briefings, manage complex international engagements, and prepare our leadership for high-profile global events. You are a dynamic professional working at the intersection of policy, communications, and executive management. 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. Collaborate with senior colleagues and executive offices to shape and drive the implementation of long-term policy engagement strategies for GDM executives. Draft briefing materials, talking points, and background notes. Brief executives ahead of critical engagements and provide on-the-ground support as part of a wider team. Develop tailored narratives and messaging to ensure all executive external communications are strategic, consistent, and highly impactful. Build and maintain an active network across government, think tanks, and industry partners to proactively support the delivery of the engagement strategy. Maintain the operational infrastructure including forward-planning, opportunity triage, and knowledge systems, while delivering concise, actionable updates on global policy and tech developments. Minimum qualifications: Bachelor's

Software Development Engineer, AI/ML Engineering Team Newark, New Jersey, USA At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a Software Development Engineer - AI/ML, you will contribute to the design, development, and implementation of machine learning solutions that drive technological innovation. The ideal candidate will have strong foundational technical skills and eagerness to learn, capable of working with experienced engineers to build scalable, intelligent systems. ABOUT THE TEAM Our AI/ML Engineering team is at the forefront of transformative technological innovation, dedicated to solving complex challenges through intelligent system design. We are a dynamic, collaborative group of technologists who push the boundaries of machine learning, artificial intelligence, and large-scale distributed systems. Our mission is to develop AI solutions that drive technological breakthroughs, deliver measurable business impact, and create intelligent systems that learn, adapt, and evolve. As a Software Development Engineer - AI/ML, you will... - Implement machine learning models and contribute to intelligent system development - Build and maintain ML infrastructure components and pipelines - Contribute to AI solutions under the guidance of senior engineers - Write clean, efficient code for machine learning applications - Learn and apply ML best practices and optimization techniques -

Senior Data Scientist, GeminiApp, DeepMind Mountain View, CA, USA; +2 more 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: $232000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with product, engineering, and User Experience (UX) to develop data-driven product strategies. Translate ambiguous questions into well-defined problems, design experiments, and analyze large datasets for insights. Communicate findings and recommendations to stakeholders, including executives. Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience. Advocate data-driven culture by feeding user engagement insights back into models. Collaborate with the GenAI team on model quality and feature adoption. Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 4 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative

Technical Program Manager III, AI/ML Intelligence, Search New York, NY, USA; +1 more A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. As an AI Technical Program Manager (TPGM), you will be an end-to-end owner, driving planning and execution. Your cross-functional partners will look to you for strategic thought partnership with a holistic and unbiased point of view. You'll work on the highest priority programs based on business needs, including next-generation experiences, evolving industry-differentiating quality and trust systems, cutting-edge AI/ML modeling, or AI raters at scale.In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000

AI Solution Engineer Warminster, Wiltshire posted: Posted 16 Days Ago

Applied Scientist, Artificial General Intelligence - Data Services Boston, Massachusetts, USA AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists. Key job responsibilities Specifically, the Applied Scientist will: • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. • Clean, analyze and select speech/language/other data to achieve goals • Build and test models that elevate the customer experience • Collaborate with colleagues from science, engineering and business backgrounds • Present proposals and results in a clear manner backed by data and coupled with actionable conclusions • Work with engineers to develop efficient data querying infrastructure for both offline and online use cases Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE,

Software Development Engineer, Global Realty Technology Mexico City, Mexico City, MEX We are seeking a highly skilled and motivated software engineer to join our team in the commercial real estate industry. In this role, you will work at a global scale to solve real-world challenges that will transform Amazon's approach to Industrial Real Estate in ways we can't even image yet. You will by applying tools in workflow automation, geospatial intelligence and mapping, and artificial intelligence. You will work closely with a team of experts to develop and implement innovative technology solutions that will revolutionize the way our stakeholders conduct business. This is a fantastic opportunity for a strong software engineer looking to make a significant impact in the commercial real estate industry. You will have the chance to work on innovative technology solutions that will transform the way our clients do business. We offer competitive compensation, comprehensive benefits, and a dynamic work environment where you will be challenged and rewarded for your contributions. We invent every day. We are Global Realty Technologies and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. If you are a strong developer with a passion for innovation, we encourage you to apply today. A day in the life - Lead, mentor, challenge and grow other software engineers on the team - Develop and implement software solutions that leverage workflow automation, geospatial intelligence and mapping, and artificial intelligence to improve our

Senior Business Intelligence Senior Analyst Warszawa Requisition Number: 45900 Overview: You will be responsible for conducting basic research, data mining, data governance, reporting and interpretation of company performance metrics. Additional job responsibilities include direct support to the senior account executive related to team performance management, operations strategy, and communications. This job is part of the Business Intelligence team within the Data & Analytics CoE. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence. Main Accountabilities: Generate reports using data from multiple sources to assist in creating a complete evaluation, improvement, or recommendation. Review the accuracy of information provided and respond to requests from management and vendors. Understand and work with scenario planning tools and models. Investigate current trends in general business conditions. Identify performance and process improvement opportunities. Assist with the coordination involving personnel from other departments and information technology groups to facilitate successful project implementations. Manage the maintenance and reporting of benchmarks and performance metrics. Experience and education: Bachelor's degree with 3 - 5 years of position related experience, or equivalent combo of education and experience level. Preferred experience in Agri business or related business area Ability to use existing procedures to solve standard problem

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago