People.ai jobs

Software Development Engineer, AI Business Automation, AI Business Automation, Prime Video Bengaluru, Karnataka, IND Prime Video is changing the way people watch movies, TV shows, and live sports, offering a vast library of content to a global audience. We are constantly innovating to enhance the customer experience, from how content is discovered and consumed to how we produce and deliver it at scale. Our mission is to be the premier entertainment destination, and we achieve this through a relentless focus on the customer, a passion for storytelling, and a commitment to technical excellence. We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Software Development Engineer on this team, you will play a key role in building the next generation of business automation. You will collaborate with senior engineers, product managers, and scientists to design, develop, and deploy the agentic AI solutions that will power this transformation. This is an opportunity to get in on the ground floor of a new initiative, work with complex distributed systems, and see your contributions directly improve how Prime Video operates for our customers worldwide. Key Job Responsibilities Design, implement, and deploy high-quality, scalable, and reliable services for our automation platform. Collaborate with other engineers, product managers, and applied scientists to deliver on our product roadmap and solve customer problems. Utilize your problem-solving skills to tackle technical challenges in a large-scale distributed environment. Participate in the full software development lifecycle, including design

Product Manager II, Google Distributed Cloud Edge, AI Engines Sunnyvale, CA, USA At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. As a Product Manager on the Google Distributed Cloud (GDC) Connected Infrastructure team, you will be responsible for defining, building, and launching differentiated capabilities for customers to build, deploy, and manage their AI and agentic workloads at the edge. Your focus will be on making GDC Connected the platform of choice for deploying and running AI and agentic applications in low latency and sovereign environments. You will own the product goal, strategy, and roadmap for the end-to-end DevOps user journey on GDC Connected Infrastructure, considering the unique requirements of edge and hybrid environments, including agent and AI application deployment, performance monitoring

Senior Data Engineer, Alexa ALICE (AI Logistics for Infrastructure, Cost, & Efficiency), Alexa AI Logistics for Infrastructure, Cost, & Efficiency Bengaluru, Karnataka, IND Are you curious about how the underlying cloud infrastructure driving Artificial Intelligence (AI) technologies is managed at Amazon? Did you know that inventing frugality-focused systems and tools for AI infrastructure lifecycle management is a collaborative front row seat to an incredible breadth of AI innovation initiatives? In the Alexa Excellence ALICE (AI Logistics for Infrastructure, Cost & Efficiency) team, we drive the infrastructure orchestration, efficiency and cost optimization mechanisms behind products such as Alexa+; striving to be the world's most capable AI personal assistant. We're seeking a Senior Data Engineer who can help us reshape how Amazon develops and deploys large scale AI systems. If the daily invention of AI infrastructure best practices and the opportunity to influence teams/products across internal Amazon and AWS sounds like a fun challenge (spoiler alert, it is!), come join us on the ALICE team! Key job responsibilities As a Senior Data Engineer within the ALICE team, you will demonstrate exceptional technical leadership with comprehensive scope and substantial influence across Amazon's broader technical community. You will be recognized as a technical authority, providing system-wide architectural guidance and design leadership for the team's data architecture and pipeline automation efforts. This role requires deep expertise in data modeling and robust experience with diverse data design approaches, technical architectures, distributed systems and orchestration implementations. You will work autonomously to address ambiguous problem areas in both

Senior Product Manager, Science AI, Google Research Mountain View, CA, USA; +2 more At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Scientific advances have been the cornerstone of economic, technological and societal progress over the last 200 years, and further scientific discoveries are essential to addressing the world's most pressing societal and environmental challenges. Recent advances in language models and Generative AI are creating new possibilities to accelerate scientific discovery. As a PM for Science AI, your objective is to lead the development of GenAI tools that empower scientists worldwide to work on scientific problems at unprecedented scale, complexity, and breadth, and to maximize the global impact of our team's AI-enabled scientific innovations. Individual pay is determined by factors including job-related

Applied Science Manager III, RBKS AI Toronto, Ontario, CAN The RBKS AI team is responsible for innovating AI features for Ring and Blink cameras, with a mission to make our neighborhoods safer. We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking Applied Science Manager to lead initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to lead a world-class team while shaping next-generation home security technology and advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities - Lead and guide a team of applied scientists in designing and developing advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding - Drive technical strategy and roadmap for privacy-preserving CV and GenAI models and systems, ensuring the team delivers efficient fine-tuning and on-device and in-cloud inference solutions - Partner with product and engineering leadership to translate business objectives into technical roadmaps, and ensure delivery of high-quality science artifacts that ship to products - Build and maintain strategic partnerships with science, engineering, product, and program management

Software Engineer III, AI Infrastructure Security Warsaw, Poland 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. 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 a rare opportunity to join a "special project" team creating a novel solution for customers with sophisticated security and locality requirements. As part of our security team, you will be ensuring security for the Alphabet, partners, and people around the world as our customers deliver their critical mission. This is a once-in-a-lifetime chance to make a Google-level impact on the future of AI. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We

Senior Machine Learning Engineer, AWS Generative AI Innovation Center Tokyo, JPN 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 helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and 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, 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 experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for the intersection of software development with generative AI and machine learning. You'll also: - Solve

Staff Software Engineer, AI and Infrastructure Sunnyvale, CA, USA Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. Our team develops Borglet which is Google's “node agent”, responsible for managing the life cycle of all user processes that run on all our machines. The Borglet Infrastructure group in Borglet is a team of 30 SWEs (distributed between Sunnyvale and Warsaw) developing core pieces of Borglet (Software Architecture, Runtime, Machine Management, Storage) to deliver the container infrastructure that is scalable, extensible, efficient and secure. The team is focused on key large initiatives in MSCA like ML/AI Infrastructure (GPU/TPUs in Borg), Security, Capacity Fungibility, Warp Space (TI VMs). The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping

Senior AI/ML Engineer 2 Locations posted: Posted 30+ Days Ago

Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago

HR AI Enablement Leader 2 Locations posted: Posted 4 Days Ago

Senior Visual Designer, Consumer Payments Mountain View, CA, USA; +1 more At Google, we "Focus on the user and all else will follow." Our Visual Designers weave space, typography, color, and iconography to help people successfully navigate our products, ensuring they are beautiful and accessible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to leverage user insights and create industry-leading products. As a Visual Designer, you will rely on user-centered design methods to craft industry-leading user experiences from concept to execution. You will collaborate with your design partners to leverage and evolve the Google design language to build beautiful, innovative, inspired products that people love to use. As a part of the Consumer Payments UX team, you will contribute to designing a cross-surface payment experience for Google users, working across Google Wallet on multiple platforms, including web, Android, Chrome, MyAccount as well as checkout experiences in Chrome across global markets. You will create simple and safe payment features like card tokenization, account linking, and e-Wallets. You will also design non-payments journeys in Wallet, like adding transit cards, using a mobile drivers license at an airport, and setting up digital car keys and collaborate with partners in APAC and Payments Platform. In this role, you will also leverage the latest AI trends and generative tooling, whether you are prototyping next-generation, AI-driven financial experiences or using AI-assisted development workflows to accelerate your output, you will ensure our team remains on the front lines of innovation.Whether it is

Compliance Technology Program Lead New York, NY, United States of America Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role Block is seeking a Compliance Technology Program Lead to ensure our Machine Learning and Heuristic detection models - and the data infrastructure that feeds them - are fit for purpose, for our fiat and virtual currency products. This role sits at the intersection of compliance, machine learning, and AI tooling: you will use modern intelligence tools, including Claude and other LLM-based agents, to automate significant portions of oversight, monitoring, and documentation work - turning a traditionally manual, documentation-heavy function into a scalable, defensible program. You will partner with Machine Learning, Engineering and BSA/AML Policy Teams to provide end-to-end technical oversight, effective challenge and ongoing monitoring throughout the model development lifecycle. You Will - - Build with Modern AI Tools Use AI agents (Claude and similar LLM-based tools) to build automation that scales oversight, monitoring, and documentation work - including drafting requirements, exam-ready documentation, data

Sr. AI Solution Architect Buenos Aires City, Buenos Aires Autonomous City, ARG Amazon Web Services (AWS) is leading the next phase of AI adoption and seeking a hands-on AI Specialist Solutions Architect (SSA) to help customers transform AI ambition into production-ready solutions. As part of the AWS sales organization, you'll work with customers facing complex AI/ML challenges that require expert-level knowledge. You'll craft scalable, flexible, and resilient technical architectures while serving as a trusted advisor throughout their generative AI and agentic AI journey. Key job responsibilities • Build trusted technical relationships with customers of all sizes, serving as their advisor for GenAI/ML and Agentic AI adoption across their cloud journey • Manage technical relationships between AWS and customers, providing recommendations on security, cost, performance, reliability, and operational efficiency to accelerate AI/ML projects • Act as voice of customer internally, sharing feedback and requirements to influence the AWS GenAI/ML and Agentic features roadmap • Design cloud-native architectures that link technology to tangible solutions, defining GenAI/ML and Agentic architectural patterns for diverse use cases • Create and share technical content including whitepapers, code samples, blog posts, and reference architectures; evangelize AWS AI capabilities through workshops, conferences, meetups, and online channels • Lead technical deep dives and workshops, contributing reusable code, reference architectures, and technical assets for the broader engineering organization A day in the life Your day will be a dynamic blend of technical problem-solving and strategic collaboration. You'll engage with customers across diverse industries, diving deep into their unique AI challenges

(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

AI Software Engineer Guadalajara posted: Posted 30+ Days Ago

Sr. Product Manager (Tech), Trustworthy Shopping Experience Bengaluru, Karnataka, IND At Amazon, we're working to be the most customer-centric company on earth and carry products that our customers want and enjoy, while ensuring that customers are safe and get safe products from Amazon. To get there, we need exceptionally talented, bright, dynamic and driven people. If you'd like to help us build an environment where our customer's safety is paramount, where we enable our customers to find and buy anything online, and where we ensure that we maintain and enhance customer trust on Amazon, then this is your chance to be part of a challenging and strategic initiative. We're looking for a strong Senior Product Manager - Technical to join our team in Bangalore, India. This role requires exceptional technical depth in Generative AI, as you'll partner with Applied Scientists and Engineering teams to build next-generation AI-powered compliance and safety solutions. You should have strong technical problem-solving skills, product management expertise in AI/ML domains, excellent communication skills, and deep understanding of how to evaluate, deploy, and scale LLM-based systems in production environments. You should also possess the ability to influence people across the organization from tech leadership to business managers by creating win-win solutions, and the desire to be an individual contributor driving Amazon's next generation of AI-powered safety technology. This role will report into the global product team that enables Trustworthy shopping experience at Amazon and ensures Safety and Compliance across Amazon stores. A primary focus of this role

Machine Learning Platform Engineer Mexico - Mexico City About the Role We are seeking a highly skilled and motivated Lead AI Platform Engineer to play a pivotal role in the development of our ML/AI platform. This role will be instrumental in building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin our machine learning initiatives and product launches. You will work on critical projects that directly impact our marketing, sales, service, and product growth verticals of the organization. This isn't a traditional infrastructure role. You should be open to wearing multiple hats ; infrastructure, software engineering, UI/UX development, and AI-native tooling. We're looking for engineers who don't just build platforms for AI , they use AI to build the platform. You ship faster because you've made Claude Code, autonomous agents, and AI-powered developer tools part of your daily workflow, not an experiment you're still evaluating. We want innovative, out-of-the-box thinkers who aren't afraid to experiment, build complex systems, and tackle challenges across the full stack with AI as the force multiplier at every layer. What You'll Do AI-Native Engineering & Developer Velocity Use Claude Code (CLI) as a primary engineering tool writing, refactoring, debugging, and reviewing infrastructure and platform code with AI pair programming as the default, not the exception. Build and publish reusable AI tools, skills, and integrations in internal tool marketplaces so that platform capabilities are discoverable and reusable across engineering teams. Design and deploy autonomous agents that accelerate developer workflows, self-healing CI pipelines,

Sr.Product Manager - Tech, Trustworthy Shopping Experience - Ops Bengaluru, Karnataka, IND At Amazon, we're working to be the most customer-centric company on earth and carry products that our customers want and enjoy, while ensuring that customers are safe and get safe products from Amazon. To get there, we need exceptionally talented, bright, dynamic and driven people. If you'd like to help us build an environment where our customer's safety is paramount, where we enable our customers to find and buy anything online, and where we ensure that we maintain and enhance customer trust on Amazon, then this is your chance to be part of a challenging and strategic initiative. We're looking for a strong Senior Product Manager - Technical to join our team in Bangalore, India. This role requires exceptional technical depth in Generative AI, as you'll partner with Applied Scientists and Engineering teams to build next-generation AI-powered compliance and safety solutions. You should have strong technical problem-solving skills, product management expertise in AI/ML domains, excellent communication skills, and deep understanding of how to evaluate, deploy, and scale LLM-based systems in production environments. You should also possess the ability to influence people across the organization from tech leadership to business managers by creating win-win solutions, and the desire to be an individual contributor driving Amazon's next generation of AI-powered safety technology. This role will report into the global product team that enables Trustworthy shopping experience at Amazon and ensures Safety and Compliance across Amazon stores. A primary focus of

Strategy Manager, Workspace Strategy and Operations Seattle, WA, USA Google Workspace by Google Cloud is an AI productivity suite that is revolutionizing the way people communicate and work with one another. The mission of the Google Workspace team is to meaningfully connect people so they can create, build and grow together. The business is large, fast growing, and looking to accelerate against a backdrop of favorable social, work, and technological trends, particularly the shift toward AI-first work and agentic collaboration. The Google Workspace Strategy team is responsible for identifying impactful growth opportunities, evaluating market expansion plays, tracking external trends and competitors (especially in the rapidly evolving AI landscape), and analyzing critical aspects of the business. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Manage and support strategic initiatives across Workspace, developing recommendations to the leadership team by analyzing strategic questions, developing and analyzing data, identifying priorities, and aligning with cross-functional partners across engineering, product, Merger and Acquisitions (M&A), partnerships, customer experience, marketing, and sales. Deliver on multiple strategy projects including research and analysis, drafting strategy documents and presentation materials, stakeholder management, communicating findings or recommendations to leadership, and landing the project team's work. Develop an understanding and strategic narrative across all components of the Workspace business and in particular areas (e.g., Go-To-Market (GTM) execution, pricing, product launches, M&A, etc.). Synthesize and

Human-Robot Interaction Applied Scientist , Fauna New York, New York, USA We are seeking a Human-Robot Interaction (HRI) Applied Scientist to develop cutting-edge interactions that make robots feel alive, personal, and fun. In this role, you will focus on verbal and non-verbal conversational systems, social dynamics, memory, and long-term relationship formation between robots, their environments, and the people they interact with. Your contributions will be essential in advancing robotics by enabling expressive, socially intelligent, and trustworthy interactions between robots and humans. Key job responsibilities - Develop interactive systems that leverage large language models, multimodal inputs and outputs, reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging, and socially appropriate robot behavior - Design and implement intelligent conversational systems that handle turn-taking, grounding, interruption, and incorporates context drawn from a robot's physical environment and shared history with a user - Integrate perceptual sensor streams including gaze, facial expression, gesture, posture, and more to understand social context and produce coherent, lifelike interactions. - Develop memory and personalization systems that allow robots to form lasting relationships with individual users, learn their environments, and adapt their behavior over weeks and months - Stay updated on advancements in HRI, NLP, multimodal AI, and cognitive and social science to apply cutting-edge techniques to robot interaction challenges - Lead technical projects from conception through production deployment - Mentor junior scientists and engineers - Bridge research initiatives with practical engineering implementation Basic Qualifications: - PhD or equivalent research experience, or Master's degree and 6+

Senior Visual Designer, Android XR San Francisco, CA, USA; +1 more At Google, we "Focus on the user and all else will follow." Our Visual Designers weave space, typography, color, and iconography to help people successfully navigate our products, ensuring they are beautiful and accessible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to leverage user insights and create industry-leading products. As a Visual Designer, you will rely on user-centered design methods to craft industry-leading user experiences from concept to execution. You will collaborate with your design partners to leverage and evolve the Google design language to build beautiful, innovative, inspired products that people love to use. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead design projects across the portfolio of XR devices and experiences, developing user centric solutions within

Lead Customer Facing Applied AI Engineer 3 Locations posted: Posted 30+ Days Ago

Software Development Engineer, AWS Quick Desktop Seattle, Washington, USA We're building an AI-powered desktop application that fundamentally changes how knowledge workers manage their digital workload. Think of it as an intelligent companion that sits alongside you on your laptop - connected to your messages, calendar, and files - understanding your work context and helping you stay on top of everything without the cognitive overhead. As an SDE-2 on this team, you'll work at the intersection of AI/ML systems and desktop application development. You'll build the infrastructure that lets AI agents operate safely and reliably on a user's machine - from real-time event processing and multi-agent orchestration to local knowledge graphs that evolve as users interact with the system. The problems you'll solve aren't typical CRUD - they involve designing novel architectures for long-running agentic sessions, managing context windows across complex task hierarchies, and building trust through transparent, permission-scoped automation. This is a 0-to-1 product. You'll ship features end-to-end, influence architecture decisions, and see your work in the hands of users quickly. If you've ever wanted to build software that feels like it genuinely understands and helps people - not just another chatbot, but a proactive partner - this is that opportunity. Key job responsibilities * Design and implement core systems for the desktop application's agentic runtime - including task scheduling, agent lifecycle management, and inter-process communication between parallel AI agents * Build and evolve a local knowledge graph that captures relationships between people, projects, and topics from the user's work