Generative Ai Engineer Jobs

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. This role will be based in North America's West Coast (PST), and offers a hybrid working model. The ideal candidate for this role will have 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure Deep experience in building data warehouses and core components for data processing systems Have experience in using GenAI in building comple

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges. We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI. The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle. This role will be based in North America's West Coast (PST), and offers a hybrid working model. The ideal candidate for this role will have 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure Deep experience in building data warehouses and core components for data processing systems Have experience in using GenAI in building comple

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As a Staff Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that can think, act, and react like humans. As part of our Interactive Avatars Team, you’ll work on cutting-edge research with a clear focus on turning breakthrough ideas into real product capabilities. You’ll join a team that moves fast, iterates often, and builds models that ship and make a meaningful impact. Example tasks and responsibilities include: Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues). Develop methods for streaming infinitely long video sequences at real-time rates. Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextua

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. About the role As a Senior Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that can think, act, and react like humans. As part of our Interactive Avatars Team, you’ll work on cutting-edge research with a clear focus on turning breakthrough ideas into real product capabilities. You’ll join a team that moves fast, iterates often, and builds models that ship and make a meaningful impact. Example tasks and responsibilities include: Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues). Develop methods for streaming infinitely long video sequences at real-time rates. Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextu

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. At Roblox , we’re building the tools and platform that empower a global community of creators and developers to build immersive experiences and a dynamic virtual economy. Our Economy ML team sits at the heart of this mission, delivering scalable machine learning systems that power personalization, pricing, search, and content understanding across all Economy surfaces: Marketplace, Developer Monetization, Payments, and Avatar. We’re looking for a Distinguished Engineer/Technical Director to lead the strategy and technical direction for ML systems , with a focus on large-scale recommendations, infrastructure, and emerging Generative AI applications. You’ll help build the systems that support retrieval, ranking, generative modeling, and LLM-powered personalization, all at massive scale. This role requires deep systems thinking, hands-on ML expertise, and a vision for how traditional ML and GenAI come together to power the future of the Roblox economy. Why Roblox for ML Systems AI/ML is a top company priority , with long-term investment. Real-world scale : Power millions of daily economic interactions across ranking, pricing, fraud, and search. Full-system ownership : Build and optimize end-to-

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Identify, diagnose and resolve assembly process related problems • Coordinate and execute process, equipment and material evaluation / optimization initiatives and implement changes at process step • Lead / participate in continuous yield improvement and cost reduction activities • Validate and fan out new process baseline qualified, including new process, tools and/or materials for new product introduction • Support SPC/FDC/RMS/APC • Support site to site portability • Manage / audit material suppliers to achieve quality, cost and risk management objectives • Support internal and external audits • Leverage AI-powered tools to improve engineering productivity, data analysis efficiency, and decision-making effectiveness. • Apply generative AI solutions to support technical documentation, root cause analysis, problem-solving activities, and engineering communications. EDUCATION, EXPERIENCE & QUALIFICATION REQUIRED Bachelor’s degree or above Experience in semiconductor assembly processes, with exposure to Die Bond (DB), Flip Chip (FC), or Thermo-Compression Bonding (TCB) preferred About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The general responsibilities of the position are the following: AI Technologies Basic understanding of AI concepts and emerging technologies. Familiarity with generative AI tools (e.g., Copilot) is a plus. Interest in leveraging AI to improve productivity, automation, and decision-making. NAND Probe/ Back End Testing Improve Probe testing coverage, quality and on NAND products Own the probe test flow, review and sign off probe test program release to ensure quality control Utilize state-of-art in house engineering equipment to support product characterization and electrical failure analysis Develop creative testing algorithms to improve testing efficiency New Generation Product Development Responsible for new product startup and yield improvement Support design verification and in-depth circuit of new products using CAD tools and Verilog simulations Work with the wafer fab process/integration group to address process-related defects affecting product yield Identify design marginalities and recommend design fix for circuit-related problems Functional and Design Validation Design novel test algorithms and develop test programs for validating NAND features and commands Use high-speed tester hardware to perform validation of new NAND devices Analysis of failures generated from the evaluations Automation of

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, Seattle, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Design engineers sit at the intersection of design and engineering. As a design engineer at WRITER, you'll own the Writer Design System (WDS) — how it's built, how it's maintained, and how both humans and AI agents use it to ship product. This role matters more now than ever. AI coding agents write more of our production code, and they ship whatever they find. A design system that's incomplete or inconsistent doesn't just slow designers down; it gets compounded at scale by every agent that builds against it. You'll make sure WRITER's core UI library is complete and trustworthy enough to build on, working closely with the designers, PMs, and engineers who rely on it every day. You'll help shape the surfaces that define how our product feels to use, and help set the standard and process for how the EPD org ships product. This is a hybrid role based out of our San Francisco, Chicago, Austin, New York City, Seattle, or London hubs. This role will be reporting to th

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, Seattle, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Design engineers sit at the intersection of design and engineering. As a design engineer at WRITER, you'll own the Writer Design System (WDS) — how it's built, how it's maintained, and how both humans and AI agents use it to ship product. This role matters more now than ever. AI coding agents write more of our production code, and they ship whatever they find. A design system that's incomplete or inconsistent doesn't just slow designers down; it gets compounded at scale by every agent that builds against it. You'll make sure WRITER's core UI library is complete and trustworthy enough to build on, working closely with the designers, PMs, and engineers who rely on it every day. You'll help shape the surfaces that define how our product feels to use, and help set the standard and process for how the EPD org ships product. This is a hybrid role based out of our San Francisco, Chicago, Austin, New York City, Seattle, or London hubs. This role will be reporting to th

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are on the lookout for a Senior Java Developer to join our Elasticsearch team and drive our work on the Inference API in Elasticsearch. The Elasticsearch Inference API is the integration layer between Elasticsearch and external machine learning services including Elastic's own Elastic Inference Service (EIS), third-party providers (Anthropic, OpenAI, Cohere, Google), and self-hosted models. It powers features like semantic search, reranking, and generative AI across Elastic Cloud and in hosted environments. You'll maintain and develop the plugin framework and REST API with your work spanning protocol design, streaming, async execution, billing integration, and with a tight collaboration with the wider inference team and the Kibana team. What You Will Be Doing Build and maintain integrations with internal systems and external inference providers, including schema negotiation, streaming (SSE), and error normalisation Contribute to the inference plugin's internal architecture: task settings, chunking strategies, rate limiting, and provider-level configuration Review open source contributions to the codebase and work with third party engineers to ensure their contributions meet our technology standards Participate in on-call rotation for inference-related incidents Write thorough tests: unit tests using ESTestCase, YAML-based REST