Scale AI jobs

Senior Member of Technical Staff (AI Infrastructure) Austin, TX, United States, US As a Senior Software Engineer within Oracle Cloud Infrastructure (OCI), you'll have the opportunity to solve large-scale, mission-critical engineering challenges with broad technical impact. Our AI Infrastructure Engineering team is building the services and platforms behind the world's largest AI mega-cluster. These systems support every phase of next-generation data center lifecycle management - including planning, design, deployment, provisioning, operations, repair, and expansion. The platform enables OCI to scale existing regions, rapidly launch new ones, and deliver the infrastructure powering the next wave of AI innovation. We are looking for experienced engineers who thrive in highly technical environments and are passionate about building scalable, reliable, and highly available distributed systems. You will work on foundational infrastructure services that directly influence the growth and reliability of OCI's AI cloud platform. If you enjoy solving complex engineering problems, operating at massive scale, and building systems that power cutting-edge AI infrastructure, we'd like to hear from you. As a Senior Software Engineer, you will lead the design and development of key components within Oracle Cloud Infrastructure. You should be a strong software engineer with deep distributed systems expertise, capable of working across all layers of the stack - from low-level systems and performance optimization to large-scale service architecture and distributed workflows. You will: Design, develop, and operate highly scalable, resilient cloud services Drive architecture and technical direction for critical infrastructure systems Build and optimize distributed systems for performance, reliability, and scale Collaborate

AI Data Associate with Dutch , Artificial General Intelligence Data Services London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI 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 those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate

AI/ML Applied Data Scientist - Generative AI Country USA | Internal Posting Location Irvine We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary We're hiring an experienced AI/ML Scientist to join our newly formed Foundation Model team in Newport Beach. This team sits at the forefront of SAP's cloud transformation, building specialized foundation models and AI agents that accelerate our customers' data transformation journeys. We own the full stack: continued pretraining on SAP data, fine-tuning for domain-specific tasks, and the agentic workflows that bring these models into SAP products. You'll partner closely with our pretraining and fine-tuning leads, teams in Europe and India, and early-adopter customers. What you'll do · Model Development: Oversee the development, fine-tuning, and integration of foundation models into SAP solutions to streamline cloud transformation journeys. · Build agents and agentic workflows: Design multi-step, tool-using agents (single-agent and multi-agent) that solve real SAP business problems, planning, tool calling, memory, reflection, and human-in-the-loop patterns. · Evaluate rigorous

AI Engineer, Amazon Business Luxembourg, LUX The mission of the Amazon Business EU Product team is to deliver exceptional value to EU business customers through solutions that allow them to use AB in a seamless way while adhering to a compliant Procure-to-pay process of their preference. You will be part of a close-knit team of BI Engineers, Data Scientists, Product managers and stakeholders who are highly collaborative and at the top of their respective fields. We are looking for talented AI Engineer who are adept at a variety of skills that enable deployment and productization of agentic AI models for automation at scale. Every member of the team is expected to build customer-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team. Key job responsibilities • Start with the customer and work backwards to define the set of features to address EU business customer needs for the owned charter. • Gather localized customer and regulatory requirements for MLP (Minimum Lovable Product) launches, and work with central tech teams to incorporate EU-specific customer needs. • Work closely with the technical product leaders to develop AI agents and transform the code into production. - Own end to end deployment at scale of AI solutions. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Document processes and methods for technical and non technical audiences. - Contribute to code

AI Data Associate with German, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI 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 those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose

SDE-II, AI Core Infra - AI Analytics and Insights Bengaluru, Karnataka, IND Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers and generate massive volumes of data across the advertising lifecycle. We are building a conversational AI assistant that empowers data engineers, analysts, and business stakeholders to interact with our vast advertising data lake through natural language. Using state-of-the-art generative AI, SpektrBot enables teams to generate insights faster by translating natural language queries into accurate, trusted data retrievals, eliminating the friction between questions and answers. As an SDE II on this team, you will be at the center of designing, building, and scaling the systems that power this conversational AI experience. You will architect robust backend services, build reliable integrations with large language models (LLMs), develop retrieval-augmented generation (RAG) pipelines, and engineer the feedback loops that allow our system to continuously evaluate and improve itself. You will work alongside applied scientists, product managers, and fellow engineers in a fast-paced, high-ownership environment where your contributions directly shape the product and influence how thousands of internal customers interact with data. This is a rare opportunity to build a 0-to-1 product at Amazon's scale, one that sits at the intersection of generative AI, data engineering, and conversational interfaces. If you are passionate about building production-grade AI-powered systems, thrive in ambiguity,

Scaled Services Strategy and Operations Manager II, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Manager, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $152000 - $222000

AI Data Associate with French, Artificial General Intelligence – Data Services Amman, JOR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI 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 those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team - Analyze root causes, identify error patterns, and propose

Ads AI Realtime Data, AI Core Infrastructure Bengaluru, Karnataka, IND Amazon Advertising is investing heavily in building AI agent infrastructure that's transforming how millions of advertisers make strategic decisions. We're responsible for defining and delivering the next generation of real-time data platforms that power over 30 advertising agents and skills across Amazon's ecosystem. Our products are strategically important to Amazon's advertising business, processing billions of data points daily. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing rapidly with a wide range of new opportunities. The Ads Real-Time Data Service team is solving one of the most critical challenges in advertising AI: instant access to advertiser context. We're building the infrastructure that provides immediate, pre-computed access to advertiser data via Model Context Protocol (MCP) servers-an emerging standard for AI agent-data interaction. We're building summarized data for context using a mix of state of the art techniques like CodeAct and RAG-based embeddings, achieving a fundamental transformation in how AI agents interact with data. As a Software Development Manager for this team, you'll lead the engineers building the horizontal platform that enables all 30+ advertising agents and skills to move at speed. You'll own the strategic direction for real-time data ingestion from sources like our data warehouse and Kafka streams, the data processing pipelines that generate pre-computed advertiser context, and the MCP server infrastructure that delivers this data with sub-second latency. This role offers a

Scaled Services Strategy and Operations Manager III, AI Transformation, Google Cloud Chicago, IL, USA; +3 more The Google Cloud Go-to-Market Strategy and Operations team acts as trusted advisors, partnering with Sales, Customer Engineering, Finance, Marketing, Partners and Google Cloud Consulting to plan, strategize, and run the business in a transformational way. As the Scaled Services Operations Lead, your objective is to fundamentally rewire how the Google Cloud ecosystem operates. We cannot scale our global sales and services simply by adding headcount; we must scale exponentially through intelligent automation. Your objective is to hunt down complex, manual bottlenecks across our business and replace them with transformational AI, automation, and agentic solutions. You will own the entire lifecycle of operational transformation: from mapping out the initial end-to-end business process and analyzing the data, to actually building the solution. You will be expected to self-build the initial V1 AI prototypes. When those prototypes are ready to scale globally, you will serve as the crucial bridge to our engineering teams, translating your operational needs into precise, foolproof technical requirements. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $186000 - $270000

Senior Principal Applied Scientist (OCI/GEN AI) United States, US At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. The Oracle Cloud Infrastructure (OCI) Generative AI science team is responsible for growing OCI's Generative AI, Agent and Analytics services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI, Database and Analytics. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, Data Agent, Analytics solutions and services that delight our customers with the confidence that their data is safe and protected. Career Level - IC5 We are seeking an exceptional applied scientist to work on innovative Generative AI & Data Analytics modeling research and development efforts. As a Senior Principal Applied Scientist in Generative AI Science team, you will be architecting, building and deploying cutting-edge, high-quality AI models and solutions at scale. You will work with a team of world-class scientists in exploring new frontiers of Generative AI and collaborate with cross-functional teams including software engineers and product managers to deploy these globally for real-world enterprise use-cases at the largest scale. You will play a key role in shaping the future of

Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As

Global Demand Management Expert - Data & AI Country USA | Internal Posting Location Chicago We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Summary: Lead the definition and execution of global demand planning and steering for AI Agents and Intelligent Packages across SAP's Data & AI portfolio. Translate strategy into integrated, measurable demand programs that drive pipeline generation, customer activation, consumption, and expansion at scale. This role ensures SAP's Data & AI offerings achieve programmatic, scalable demand across launches and scaled consumption-directly impacting pipeline, customer value realization, and revenue growth. What you'll do Define and own the global demand strategy and ambitions (pipeline, activation, consumption) for AI Agents and Intelligent Packages. Convert Data & AI GTM priorities into Integrated Demand Programs (IDPs) and standardized KPIs. Orchestrate global launches, field activation, and post-launch scaling; enable regions to localize into a single DG Action Plan. Align cross-functional stakeholders (Sales, Marketing, Partners, Services, Digital Hub, Customer Success) to prevent frag

Senior Data Scientist, Core Ranking and AI Context Mountain View, CA, USA As a Data Science team that supports Core Ranking and AI Context Engineering (CRAFT), we are the foundation for all of Google's key products - Search, AI Overview, and AI Mode. Working alongside engineers and product managers, we work on the most complex challenges, push the boundaries of Web and AI quality, and architect novel ways for billions of users to experience Google's capabilities on a daily basis. This is your chance to define our Search products for Google. The mission of the CRAFT team is to drive measurements, insights, and impel actions with our partners across Core Ranking and AI Context Engineering in Search to elevate Google's Search Engine Results Page (SRP) and AI Mode and AI Overviews (AIX) products. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Work closely with engineers and product managers to identify quality and metric headrooms. Conduct rigorous analyses of large-scale datasets, apply statistical/AI methods to solve complex problems, and present actionable insights and recommendations to stakeholders. Develop evals and measurements to guide hillclimbing and iterative improvements. Be an integrated partner to impel system changes and launches. Automate such evals and measurements in collaboration with engineering and product. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or

SDE, AI Infrastructure, AFT AI Bellevue, Washington, USA Are you excited about developing novel agentic AI solutions and leveraging them to automate Amazon operations? Are you looking for opportunities to build and deploy them on real-world problems at a truly vast scale with global impact? As part of AFT AI, we are on a mission to build a new generation of dynamic end-to-end agentic solutions for our warehouses. These models will be able to understand and make use of petabytes of human-centered as well as process information from our warehouse systems and robotic work cells, and learn to perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for a Software Development Engineer who will lead the engineering effort. This includes developing the infrastructure to support AI research and development at scale, and the production systems that allow our agentic solutions to operate across a wide spectrum of processes within Fulfillment Technology and Robotics. Together, we will be pushing beyond the state of the art GenAI to automate one of the most complex systems in the world: Amazon's Fulfillment Network. Key job responsibilities * Design and Develop infrastructure for evaluation and benchmarking of agentic AI model that impact the entire fulfillment network. * Design and Develop end-to-end training and inference pipelines to accelerate agentic AI model development while optimizing GPU usage. * Transform experimental AI artifacts from research into scalable systems by incorporating robust architectural components and engineering best practices. * Lead and

Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

Senior Deep Learning Architect, Generative AI Innovation Center Tokyo, JPN AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run

Sr. SDE- ML Data Infrastructure, Frontier AI Robotics San Francisco, California, USA Build and maintain scalable data infrastructure to support cutting-edge AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands-on technical contribution to data preparation workflows. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and

Software Development Engineer - Shopping Personalization AI, Amazon Stores Tel Aviv-Yafo, Tel Aviv, ISR Amazon's Personalization organization builds the AI systems behind how hundreds of millions of customers discover and shop. We extract and reason over customer signals in real time, power LLM-driven recommendation experiences, and build AI-native discovery surfaces that combine products, content, and contextual recommendations. Our work sits at the intersection of generative AI, large-scale distributed systems, and customer-facing products, delivered through high-performance web and mobile experiences at Amazon scale. In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build. We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint. Key job responsibilities - Design, build, test, and operate production AI

Senior Applied Scientist, Applied AI Solutions GTM Dallas, Texas, USA Amazon Web Services (AWS) Applied AI Solutions (AAIS) is on a mission to make AI real for enterprises. We build and deploy production AI solutions that drive measurable business outcomes at scale, bringing together applied scientists, AI architects, business development professionals, and GTM specialists to help customers move from AI experimentation to production impact. Within AAIS, the GTM Acceleration team activates the field, measures impact, and scales what works. We are the connective tissue between AAIS product and science teams and the worldwide field organization, ensuring our AI solutions reach customers effectively, that we quantify the value we deliver, and that we build repeatable motions that scale globally. We are looking for an Applied Scientist who will serve as a force multiplier across our customer engagement teams, building the analytical foundations, predictive models, and reusable tooling that power our go-to-market strategy. You will work at the intersection of data science, machine learning, and business strategy, building models that quantify our value proposition, and creating scalable analytical assets that accelerate every engagement. This is a highly visible, high-impact role where your work directly influences how we demonstrate and measure the value of AWS AI solutions for enterprise customers. You will operate with significant autonomy, owning the scientific direction of your projects while collaborating with software engineers, product managers, and business stakeholders. You will identify the right methodology for each problem, whether that is a classical statistical approach, a modern deep learning

Startup Scale Program Manager, Startup Scale Programs Seattle, Washington, USA Amazon Web Services (AWS) is seeking a talented, driven, and detail-oriented Program Manager to join the Startup Acquisition & Customer Experience (ACE) team. Our organization is responsible for driving adoption of the AWS platform by startups around the world through scale programs that serve thousands of partners and their portfolio companies. In this role, you will own and operate large-scale startup programs end-to-end - driving process automation using AI tools, executing data-driven engagement strategies, and delivering measurable business impact. You will work at the intersection of program operations, technology, partners, and stakeholder coordination to ensure AWS remains the cloud platform of choice for startups globally. This is a unique opportunity to shape how AWS engages with the startup investor ecosystem (VCs, accelerators, incubators) at scale. You will also play a key role in driving AWS cloud growth opportunities through programmatic engagement, referral motions, and AI-powered enablement workflows. Key job responsibilities • Own end-to-end program operations for scale startup programs, including onboarding workflows, campaign management, performance monitoring, and business reviews. • Design and execute scale engagement motions (webinars, newsletters, office hours, partner communications) using data-driven prioritization and salesforce campaign management. • Scale cloud migration programs by driving referral motions into AI migration experiences, coordinating with Operations on partner tooling, and enabling consulting partners to launch migration opportunities. • Serve as human-in-the-loop for AI-driven partner engagement workflows - monitoring automated outreach, triaging escalations, and ensuring quality across high-volume partner communications. • Design,

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

Design Technologist, Agentic AI & Marketing Automation New York, New York, USA Amazon Ads Marketing is building an AI-native team to drive the transformation of the marketing organization to integrate AI into our marketing production process with precision and scale. As a Design Technologist on this team, you will drive the intersection of Agentic AI development, UX design, and marketing operations. You will own the user workflow design, technical delivery, platform operations, and program execution of agentic AI and marketing automation initiatives across our omnichannel production workflows. This role will prototype AI-driven automation experiences, build functional integrations between workflow management systems, agentic AI tooling, and 3P platforms to enable our marketing team to scale communications production across email, portal notifications, and website channels with greater speed, quality, and efficiency. You will serve as the technical and UX bridge between marketing stakeholders and AI engineering teams, turning ambiguous automation concepts into tangible, interactive experiences that teams can evaluate, test with users, and use to move automation projects forward. This role requires hands-on technical execution and technical leadership, you'll implement AI technologies, provide technical integration support, create reusable prototyping frameworks, and develop reference implementations that raise the bar for how the team builds and delivers AI-powered solutions. You will design, execute, and troubleshoot AI-driven solutions, set prototyping standards for the team, and influence UX and technical approaches across adjacent teams to drive operational efficiency at scale. This is a high-impact, high-visibility role. The ideal candidate brings strong prototyping skills, experience with the

Software Engineering Manager, Emergent AI infrastructure Team Hyderabad, Telangana, India Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Emergent AI infrastructure team in Google is looking to build the next generation of on-premises Artificial Intelligence (AI) infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance the state of the art for AI around the world. In this role, you will fully integrate AI infrastructure systems, from hardware to software design and workload management. You will have experience building very large AI clusters using the latest technologies