Scale AI jobs

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

Principal Product Manager, AWS Neurosymbolic AI Seattle, Washington, 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.

Tech Lead Manager, Kubernetes AI Infrastructure Kirkland, WA, USA; +1 more Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE 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 SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE 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. Google is looking to build the next-generation of on-prem AI infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance for AI around the world. Our team is responsible for building reliable and scalable TPU orchestration with Kubernetes. Our goal is to enable customers to effectively and reliably run their GenAI workloads by leveraging Google TPU infra at scale. The team is on a mission to redefine the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer experience with K8s. This is a unique opportunity to join a "special project" team creating a novel

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.

Principal GenAI Specialist SA New York, New York, USA Application deadline: Jun 14, 2026 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

Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done

Engineering Manager, Hybrid and On-prem AI Infrastructure Warsaw, Poland 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. Our team is building the future of at-scale computing by delivering a groundbreaking, on-premises AI supercomputer - the next evolution of Google's AI accelerators hardware. This is an opportunity to join a "special project" team creating a novel solution for customers with sophisticated security and locality requirements. You will be at the heart of building the next generation of AI hardware and the critical software that brings it to life. This is a chance to make a Google-level

Principal Solutions Architect, Strategic Accounts Seattle, Washington, USA What if your architecture became the industry blueprint for agentic AI? As a Principal SA embedded with a Fortune 500 technology leader, you'll architect, design, and build multi-agent systems at massive scale while advising C-Suite executives on AI transformation. The Opportunity You'll serve as a trusted technical advisor to a technology company that is actively reshaping their industry using AI. You will be a technical counterpart to customer executives who speak fluent AI and expect their AWS Solutions Architect to match that depth and push the conversation further. The customer is: - Deploying specialized AI agents across every stage of the traveler journey - from inspiration to booking to in-trip support - Pioneering a Business-to-Agent (B2A) marketing paradigm - treating AI agents as a first-class audience - Building MCP-based infrastructure that opens services to third-party AI agents at massive scale - Leveraging frontier foundation models for real-time inference, fine-tuning, and agentic orchestration What Makes This Role Different This role: - Shapes the technical agenda for the account and operates at the C-Suite level - Builds net-new architectures that become the reference - Focuses on business outcomes - Influences company-wide AI strategy - Span GenAI, ML platforms, agentic systems, data, and infrastructure Key job responsibilities - Build - create prototypes, reference implementations, and production-ready architectures that prove the value of new AI capabilities at scale - Serve as the trusted technical voice - shaping the industry-level conversation on AI - Access the full

AI Data Associate (Dutch-English Bilingual), Artificial General Intelligence Data Services The Hague, South Holland, NLD 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,

Sr Techncial Program Manager , AWS Prototyping and AI Customer Engineering (PACE) Seattle, Washington, USA AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Be the force multiplier that accelerates AI innovation at scale for AWS's most forward-thinking customers and partners. The AWS Prototyping and AI Customer Engineering (PACE) team builds working Generative AI and Agentic AI prototypes in days and weeks, not months, and we need a Technical Program Manager who can own and grow our partner-led engagement program. If you're passionate about AI technologies, energized by building programs that create non-linear impact through technology partners, and thrive on turning successful prototyping patterns into repeatable, scalable mechanisms, this is your opportunity to shape how organizations globally adopt AI. In this role, you'll own PACE's partner-scaled AI prototyping program end-to-end, using an "Amazon Designed, Partner Delivered" approach. You'll take proven AI patterns (large language models, RAG architectures, autonomous agents, AI-driven development tools) and scale them through a growing ecosystem of technology partners. Day to day, you'll design and run partner enablement programs, lead partner summits, build qualification mechanisms, and expand into new partnership models. You'll create

AI Benchmarking Specialist - Chinese, International Seller Growth Shanghai, CHN The Seller AI team within International Seller Services organization is focused on helping sellers with the right set of Gen-AI/LLM powered tools and agentic solutions that can enable them to accelerate business growth on Amazon. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior seller experience to our sellers worldwide. The AI Benchmarking Associate supports the evaluation of AI systems by designing and executing benchmarking and audit activities to assess model quality, compliance, robustness, and fairness. The role combines elements of AI auditing, quality assurance, and traditional audit-style documentation and stakeholder communication. By joining us, you will play a pivotal role in shaping the future of selling on Amazon for sellers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Assist in planning and executing benchmarking exercises for AI models, including defining test plans, metrics, and acceptance criteria across accuracy, robustness, bias, and reliability • Support content accuracy, relevancy, and privacy checks by reviewing datasets, model outputs, and data handling practices, escalating potential regulatory risks. • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Prepare clear audit and benchmarking reports, including error ratings, root-cause analysis, and recommendations, and contribute to presentations for senior stakeholders Maintain organized audit documentation, evidence, and benchmarking datasets to support internal review •

Security Engineer II, StoreSec Application Security Austin, Texas, USA Amazon Healthcare Security's (HealthSec) AI team is hiring a Security Engineer II to secure GenAI applications and enable secure AI adoption across Amazon Health Services (AHS). You will work at the intersection of AI for Security and Security for AI-securing AHS GenAI applications in production, hardening the AI-SDLC for AHS builders, and building AI-powered security tooling that scales protection across healthcare verticals including application security, network and infrastructure security, detections and monitoring, and incident response. Working closely with AHS AI application builders and product teams, you will ensure that AI systems handling healthcare data meet HIPAA compliance and Amazon's security bar while improving security review process efficiency for both builders and peer healthcare security teams. Key job responsibilities Define and drive implementation of proactive security controls for AHS AI applications including GenAI chatbots, agentic systems, and LLM-powered tools Develop and implement security controls for the AI-SDLC, ensuring AHS builders build secure AI applications by default Assess and drive mitigation of AI-specific security risks including prompt injection, model abuse, data exfiltration, and unauthorized tool invocation at scale Build and/or drive adoption of AI-powered security tooling (e.g., automated threat modeling, code scanning, security test generation) to scale security across AHS Drive adoption of AI security guardrails, testing frameworks, and monitoring across AHS GenAI applications Collaborate with AHS builder teams to integrate security guidance into AI development workflows, reducing late-stage security findings Develop and maintain security documentation including AI threat models, risk assessments, and

Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

AI Data Trainer (Portuguese), Operations Team, Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation

Senior Machine Learning Software Development Engineer, AI Ops Integration Dublin, IRL As part of AI Operations Integration, we have a vision to transform Amazon Operations & Supply Chain into an AI-Native organization by delivering intuitive and differentiated AI solutions that solve enduring operational challenges. We blend vision with curiosity and Amazon's real-world experience to build rapidly AI capabilities. We accelerate our customers' businesses: internal operations teams across Amazon's global footprint through delivery of predictive analytics, LLMs and autonomous AI agents to automate decision-making across Amazon's global operations and supply chain. As a Machine Learning Software Development Engineer, you'll design and deploy production ready systems that combine traditional ML with modern agentic architectures to solve impactful operational problems at scale. This role combines the excitement of a startup environment with the scale of Amazon Operations. You'll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity, passionate about AI and want to fundamentally influence how Amazon Operations leverages AI, this role offers an extraordinary opportunity to make your mark. Key job responsibilities What you'll do: • Lead the technical design and architecture of production ML/LLM systems end-to-end from data pipelines and model serving to scalable user-facing applications • Architect and build agentic AI solutions that orchestrate complex operational workflows across multiple systems, APIs, and decision points • Define the technical strategy for internal tooling. Designing front-end platforms (dashboards, products) that serve non-technical operations users at worldwide scale • Own

AI Data Associate (NL), Artificial General Intelligence Data Services The Hague, South Holland, NLD 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

(Senior) Researcher (f/m/d) - Knowledge Graphs and Generative AI Region Europe | Country Germany | Internal Posting Location Garching 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. What you`ll do At SAP, we're integrating state-of-the-art AI technology with our industry-specific data and deep process knowledge to innovate across SAP products & services. Agentic AI based on Large Language Models (LLMs) is transforming how users interact with their business applications. Still, the understanding of structured and unstructured business data such as business data models, business process metadata and documentation is limited in pre-trained LLMs, challenging using agents at scale and for complex tasks. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide Knowledge Graphs (KGs) as key differentiators to address LLM challenges like hallucination and compliance, as well as enable the development of the foundation models on structured data to deliver distinctive generative AI solutions to our customers. The Role: Contribute pioneering technical advances to the combination

Principal Customer Success Specialist - Gen AI, Customer Success Center of Excellence SGP AWS is seeking a Principal Customer Success Specialist - Gen AI to transform how organizations plan, execute, and operate their businesses through adoption of Amazon Quick and AWS's generative AI platform. This is a senior individual contributor role within the AWS Specialists & Partners (ASP) Customer Success Center of Excellence, requiring a combination of executive-level strategic vision and practical credibility to help customers fundamentally reimagine their business processes using AI. Amazon Quick is AWS's enterprise AI platform that enables organizations to transform how work gets done, from knowledge management and research to decision-making and operational workflows. This role focuses on helping customers move beyond AI experimentation to systematic business process reinvention at enterprise scale. You will define the methodologies, frameworks, and repeatable models that shape how AWS and its customers approach AI-powered business planning, execution, and operation transformation. Your work will directly influence product roadmaps, partner ecosystems, and go-to-market strategies, creating lasting organizational and market impact across hundreds of enterprises globally. Key job responsibilities Strategic Customer Transformation - Design and lead comprehensive “business execution” transformation strategies for enterprise customers adopting Amazon Quick and AWS Gen AI services, addressing process redesign, organizational capabilities, change management, and value realization through integrated frameworks and executive alignment. Offering Development & Scaling - Build repeatable transformation methodologies, maturity models, and assessment frameworks that enable AWS and partners to guide customers from AI experimentation to systematic business process reinvention at scale. - Synthesize

AI Data Trainer (Arabic), Alexa Shopping Operations Gurugram, Haryana, IND Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cutting-edge technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide. Key job responsibilities As part of your role, you will have the opportunity to, • Contribute to various projects involved in generating training datasets for AI models • Create content that generates text-based user input to power artificial intelligence • Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information • Perform data collection and curation, ultimately resulting in the generation of high-quality data that can be utilized for AI models • You will work closely with your team members and managers to drive process efficiencies and explore opportunities for automation • You will strive to enhance the productivity and effectiveness of the data generation and annotation processes About

Partner Solutions Architect - Migration & AI Acceleration, Partner Solutions Architecture Bangkok, THA AWS is where innovation, risks, and ideas are celebrated. We are builders, we try new things, and imagine big dreams. It is still Day 1 for us, and we are looking for curious people to be part of our diverse teams of thinkers, testers, and doers. Come join us and work with the latest cloud technologies that enable our customers to adopt cloud-based solutions. THE ROLE You will collaborate with a diverse partner community-including distributors, traditional system integrators, born-in-cloud partners, and AI-native partners-alongside other AWS teams to build architectures, proof of concepts, and demonstrations of AWS services by working backwards from their customers' business needs to accelerate the adoption of appropriate AWS technology. A key focus of this role is accelerating both migration and AI transformation through partners. You will drive large-scale migration initiatives while simultaneously building and scaling an Agentic Platform that empowers partners to deliver AI-driven, autonomous solutions to their customers. You will help shape and design partner solutions covering a spread of domains from migration of core applications and workloads to working with GenAI, Agentic AI, AI/ML, microservices, containers, app development, IoT, and more. Being able to continuously expand your technological knowledge-particularly in migration methodologies and emerging agentic and autonomous AI capabilities-and having an interest in designing industry-applicable architectures that demonstrate business value are essential for this role. PARTNER COMMUNITY MANAGEMENT You will be responsible for managing and scaling relationships across multiple partner types

Data Scientist II, Enterprise Security Products Austin, Texas, USA What happens when you combine startup speed with Amazon-scale impact? You get this team. Amazon Enterprise Security Products is a newly launched group building intelligent, cloud-agnostic security tools using AI-first development practices. Here, you build AI and you build with AI - at the same time. This role is a chance to shape the future of security tooling with a small, fast team that ships like a startup but deploys at Amazon scale. We're looking for a Data Scientist who thrives at the intersection of applied ML, agentic AI, and security. You'll design and deploy models that detect threats, power intelligent agents, and make security decisions at cloud scale. You'll work shoulder-to-shoulder with SDEs, applied scientists, security researchers, and PMs on a team where the best idea wins, regardless of title or tenure. Key job responsibilities * Build the intelligence behind AI-first security products: Design, train, and ship ML models that power agentic systems, anomaly detection, threat classification, and automated response - all running across multi-cloud environments. * Own the full science lifecycle: From problem framing and data exploration through model development, evaluation, production deployment, and monitoring. You build it, you ship it, you run it. * Build with AI to build AI: Use agentic coding tools, LLM-powered workflows, and experimental AI tooling to accelerate every phase of your work; from EDA to feature engineering to model iteration. Multiply your velocity and raise the bar for what one scientist can deliver.

Senior AI Machine Learning Engineer Country Canada | Internal Posting Location Montreal 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. About the Role We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines. This role sits at the intersection of research and systems engineering and will help shape the next generation of relational foundation model for structured data. You will own key architecture decisions, mentor engineers and researchers, and build high-performance ML systems that operate reliably at scale. What You'll Do Technical Leadership. Architect and drive the scalable development of foundation model for relational and graph data. · Design high-performance data pipelines for large-scale graph, relational, and tabular datasets. · Establish best practices for experimentation, reproducibility, evaluation, and deployment. · Define and execute the technical roadmap for ML infrastructure and modeling frameworks. Geometric ML Knowledge · Develop and optimize: o Graph Neural Networks (

Strategic OCI & AI Infrastructure Lead United Kingdom, GB Oracle is seeking a senior leader to serve as a Strategic OCI & AI Infrastructure Lead within the Global AI Infrastructure & Strategic Pursuits organization. This role is not a traditional account role. This role requires deep technical and commercial skills, enabling complex customer engagements. This Lead will operate at the intersection of hyperscale AI infrastructure, complex customer environments, and high-stakes commercial outcomes. This includes owning and scaling some of the most demanding AI and cloud deployments globally, across enterprise, high-growth startups, strategic AI installations, or international markets (Europe, Middle East, APAC, and Latin America). This role requires equal comfortability discussing GPU cluster architecture and leading multi-million-dollar Cloud commercial negotiations. Key Responsibilities Strategic Customer Ownership Serve as the point of accountability for a portfolio of high-value AI/OCI customers within your assigned segment Operate a high-touch, deeply embedded engagement model-this is not transactional account management Build executive-level trust while staying close to day-to-day technical realities Infrastructure Performance & Optimization Help drive health, performance, and efficiency of large-scale OCI environments and compute fleets Help drive meaningful improvements in utilization, cost efficiency, and architectural design Act as the escalation quarterback. When things break, you bring clarity and resolution fast Capacity, Supply & Scale Planning Translate customer growth projections into real infrastructure plans (compute, storage, networking) Anticipate constraints before they happen. Capacity is your problem to solve, not react to De-risk large-scale deployments by aligning supply with demand across global regions Cross-Functional Execution Leadership Orchestrate

AI Data Associate - Dutch, Artificial General Intelligence 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! Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our biggest tenet - Work with a range of different types of data including but not limited to text, speech, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software - Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation. - Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team - Demonstrate expertise in handling end to end data execution