Microsoft
Overview
Get AI-powered advice on this job and more exclusive features. Technology is the canvas for the next wave of human creativity and progress. At Microsoft Creative Technology, part of the
Microsoft Research Accelerator , we leverage the world’s leading scientific research to deliver state-of-the-art Artificial Intelligence/Machine Learning (AI/ML), cloud computing, real-time graphics, generative AI, Extended Reality (XR), computational media, creative and media tools, and other emerging domains—technologies that revolutionize the human condition. Our mission is to empower every person and organization—artists, dreamers, researchers, developers and innovators—to imagine, build, and share experiences that inspire, educate, and connect. We turn research at the forefront of technology into reproducible, human-impact prototypes. As an
AI Engineer - Creative Technology , you will engineer the AI infrastructure and invent new ways to apply emerging AI techniques to diverse research challenges. You’ll partner with researchers, designers, and developers to craft AI services that are technically rigorous, creatively expressive, and instantly understandable. You will architect, research, and deliver scientifically grounded, high-impact prototypes and solutions. From end-to-end technical execution—designing robust architectures, conducting empirical evaluation, and implementing scalable systems—you’ll work across state-of-the-art AI/ML, generative AI, cloud computing, real-time graphics, XR, computational media, and creative media tools. Your work will be visible inside and outside the company; you may publish papers, file patents, give talks, contribute to open-source code, or assist in transfer of technologies from research to production groups, all while fostering a culture of experimentation and scientific rigor. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We value respect, integrity, accountability, and inclusion, and are committed to cultivating an inclusive work environment for all employees. Responsibilities Design, deploy, and maintain a shared AzureML workspace, Graphics Processing Unit (GPU)/Tensor Processing Unit (TPU) pools, and prototype applications that build on state-of-the-art research. Create modular, “press-run-model” Software Development Kit (SDKs) that let researchers and developers invoke sophisticated AI (e.g., Computer Use Agents, federated learning, RAG, diffusion) with a single line of code. Prototype emerging AI paradigms (prompt-engineering, retrieval-augmented generation, generative diffusion, quantum-ML hybrids) and evaluate their suitability for research pilots. Engineer data pipelines for synthetic data generation, privacy-preserving transformations, and playful data-augmentation strategies. Build interactive AI “playgrounds” (notebooks, visual dashboards, chat-style explorers) that surface model behaviour, trade-offs, and storytelling potential. Collaborate in design-research workshops and ideation sessions, proposing AI-centric narrative arcs that elevate the prototype’s impact. Optimize models for latency, cost, and edge-device constraints while preserving the narrative fidelity of the output. Document workflows, version-control models, and publish reusable patterns for the broader research and developer community. Embed a culture and values of the organization in your work. Qualifications Bachelor's Degree in Computer Science, Engineering, or related scientific or technical discipline AND 4+ years professional software development experience with coding in languages including, but not limited to, Python, C, C++, C#, Java, or JavaScript; OR equivalent experience. 2+ years of experience building production-grade AI pipelines on Azure, AWS, or GCP. Familiarity with one or multiple of the following technologies: state-of-the-art AI/ML systems, generative AI, cloud computing, real-time graphics, XR, computational media and/or creative and media tools. Advanced proficiency in one or multiple technologies: Azure, Python, React TS, NoSQL, Cosmos DB, .NET, and AI technologies such as Large Language Models (LLMs), semantic embeddings, search, and/or RAG (Retrieval-Augmented Generation). Preferred Qualifications Demonstrated ability to build creative AI prototypes, supported by a portfolio of open-source projects, hackathon work, publications, or other innovative contributions. Passion for creativity and scientific inquiry, with experience leading hypothesis-driven research, applying data-driven methodologies, and validating concepts through experimentation and strategic analysis. Experience building, integrating, or extending media, creative, or visualization tools (e.g., video, audio, 3D, interactive experiences). Experience designing scalable, responsible AI solutions with considerations for bias mitigation, privacy, sustainability, and diverse user needs. Proven scientific communication skills through publications, patents, open-source contributions, and the ability to clearly document and present technical work to diverse audiences. Experience working at the intersection of research and development, innovation-focused, or creative technology teams. Experience with generative diffusion, large language models, federated learning, quantumML, or neuromorphic hardware. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until September 11, 2025. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Get AI-powered advice on this job and more exclusive features. Technology is the canvas for the next wave of human creativity and progress. At Microsoft Creative Technology, part of the
Microsoft Research Accelerator , we leverage the world’s leading scientific research to deliver state-of-the-art Artificial Intelligence/Machine Learning (AI/ML), cloud computing, real-time graphics, generative AI, Extended Reality (XR), computational media, creative and media tools, and other emerging domains—technologies that revolutionize the human condition. Our mission is to empower every person and organization—artists, dreamers, researchers, developers and innovators—to imagine, build, and share experiences that inspire, educate, and connect. We turn research at the forefront of technology into reproducible, human-impact prototypes. As an
AI Engineer - Creative Technology , you will engineer the AI infrastructure and invent new ways to apply emerging AI techniques to diverse research challenges. You’ll partner with researchers, designers, and developers to craft AI services that are technically rigorous, creatively expressive, and instantly understandable. You will architect, research, and deliver scientifically grounded, high-impact prototypes and solutions. From end-to-end technical execution—designing robust architectures, conducting empirical evaluation, and implementing scalable systems—you’ll work across state-of-the-art AI/ML, generative AI, cloud computing, real-time graphics, XR, computational media, and creative media tools. Your work will be visible inside and outside the company; you may publish papers, file patents, give talks, contribute to open-source code, or assist in transfer of technologies from research to production groups, all while fostering a culture of experimentation and scientific rigor. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We value respect, integrity, accountability, and inclusion, and are committed to cultivating an inclusive work environment for all employees. Responsibilities Design, deploy, and maintain a shared AzureML workspace, Graphics Processing Unit (GPU)/Tensor Processing Unit (TPU) pools, and prototype applications that build on state-of-the-art research. Create modular, “press-run-model” Software Development Kit (SDKs) that let researchers and developers invoke sophisticated AI (e.g., Computer Use Agents, federated learning, RAG, diffusion) with a single line of code. Prototype emerging AI paradigms (prompt-engineering, retrieval-augmented generation, generative diffusion, quantum-ML hybrids) and evaluate their suitability for research pilots. Engineer data pipelines for synthetic data generation, privacy-preserving transformations, and playful data-augmentation strategies. Build interactive AI “playgrounds” (notebooks, visual dashboards, chat-style explorers) that surface model behaviour, trade-offs, and storytelling potential. Collaborate in design-research workshops and ideation sessions, proposing AI-centric narrative arcs that elevate the prototype’s impact. Optimize models for latency, cost, and edge-device constraints while preserving the narrative fidelity of the output. Document workflows, version-control models, and publish reusable patterns for the broader research and developer community. Embed a culture and values of the organization in your work. Qualifications Bachelor's Degree in Computer Science, Engineering, or related scientific or technical discipline AND 4+ years professional software development experience with coding in languages including, but not limited to, Python, C, C++, C#, Java, or JavaScript; OR equivalent experience. 2+ years of experience building production-grade AI pipelines on Azure, AWS, or GCP. Familiarity with one or multiple of the following technologies: state-of-the-art AI/ML systems, generative AI, cloud computing, real-time graphics, XR, computational media and/or creative and media tools. Advanced proficiency in one or multiple technologies: Azure, Python, React TS, NoSQL, Cosmos DB, .NET, and AI technologies such as Large Language Models (LLMs), semantic embeddings, search, and/or RAG (Retrieval-Augmented Generation). Preferred Qualifications Demonstrated ability to build creative AI prototypes, supported by a portfolio of open-source projects, hackathon work, publications, or other innovative contributions. Passion for creativity and scientific inquiry, with experience leading hypothesis-driven research, applying data-driven methodologies, and validating concepts through experimentation and strategic analysis. Experience building, integrating, or extending media, creative, or visualization tools (e.g., video, audio, 3D, interactive experiences). Experience designing scalable, responsible AI solutions with considerations for bias mitigation, privacy, sustainability, and diverse user needs. Proven scientific communication skills through publications, patents, open-source contributions, and the ability to clearly document and present technical work to diverse audiences. Experience working at the intersection of research and development, innovation-focused, or creative technology teams. Experience with generative diffusion, large language models, federated learning, quantumML, or neuromorphic hardware. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications for the role until September 11, 2025. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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