{"schemaVersion":"jobsearcher.job.v1","id":"287df3af84f0bb1973c444d9","url":"https://jobsearcher.com/jobs/287df3af84f0bb1973c444d9","canonicalUrl":"https://jobsearcher.com/jobs/287df3af84f0bb1973c444d9","title":"Applied AI/ML Engineer","description":"About Intangible\nIntangible is a spatial intelligence company, designed for creatives in industries where space and movement matter — everything from film & advertising to events and defense/space tech. We aim to move beyond verbal intelligence (prompts) to spatial intelligence (3D) by giving generative AI models a better understanding of exactly what humans imagine. We get there with camera-centric control system as well as technical innovation in 3D design, semantic systems, AI/ML, and knowledge graphs — all designed to live on the open web and deliver professional grade control over generative AI models.\nWe are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM, Google and Electronic Arts. Intangible is venture-funded by a16z Speedrun, Crosslink Capital and prominent angels.\nWe are looking for like minded creative technologists who love their craft and building groundbreaking products.\nThe Role\nWe’re looking for a Applied AI/Machine Learning Engineer to join our growing team. You'll play a principal role in designing and building AI assistants that empower people to use interactive 3D as a medium.\nLocation: Preference for SF/Bay Area, CA. Open to remote candidates in North America & Western EU.\nWhat You'll Do\nDesign and develop assistive AI technology for interactive, 3D workflows.\nUse the technology you build to propel human ability to communicate with interactive 3D.\nReduce the time it takes for someone to have an idea, visualize it, and share it with others.\nBuild and operate MCP servers at scale.\n\nResponsibilities\nBuild agentic AI pipelines that extract intent, entities, and semantic structure from user input.\nAnalyze opportunities for improving the AI system's performance and personalization.\nIntegrate cloud and client LLMs to drive creative workflows.\nDesign and maintain knowledge graphs to represent world, character, and story data.\nPrototype and apply AI features in collaboration with product and engineering teams.\nFine-tune or augment foundation models for domain-specific tasks.\nKey Competencies\nEvidence of exceptional ability in software development .\nUnderstanding of ML principles, algorithms, and evaluation metrics.\nStrong experience with modern agentic AI frameworks.\nExperience with data storage and retrieval with vector databases.\nExperience with graph databases (e.g., Neo4j, RDF, property graphs).\nExperience developing and operating agentic backend experiences, tools, optimizations.\nProficient in Python and ML libraries (e.g., PyTorch, TensorFlow).\nAbility to ship features end-to-end.\nIdeal Candidate Has:\nExperience building AI copilots.\nExperience building recommendation systems.\nCloud ops, containerization, IaC and multi-tenant experience.\nBackground in computational linguistics or knowledge representation.\nBenefits\nWe are a remote-first company with a small concentration in the Bay Area.\nHealth insurance for you and your dependants\n401(k) plan\nFlexible PTO","company":"Intangible","rawCompany":"intangible","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:40:02.142Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied AI/ML Engineer","description":"About Intangible\nIntangible is a spatial intelligence company, designed for creatives in industries where space and movement matter — everything from film & advertising to events and defense/space tech. We aim to move beyond verbal intelligence (prompts) to spatial intelligence (3D) by giving generative AI models a better understanding of exactly what humans imagine. We get there with camera-centric control system as well as technical innovation in 3D design, semantic systems, AI/ML, and knowledge graphs — all designed to live on the open web and deliver professional grade control over generative AI models.\nWe are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM, Google and Electronic Arts. Intangible is venture-funded by a16z Speedrun, Crosslink Capital and prominent angels.\nWe are looking for like minded creative technologists who love their craft and building groundbreaking products.\nThe Role\nWe’re looking for a Applied AI/Machine Learning Engineer to join our growing team. You'll play a principal role in designing and building AI assistants that empower people to use interactive 3D as a medium.\nLocation: Preference for SF/Bay Area, CA. Open to remote candidates in North America & Western EU.\nWhat You'll Do\nDesign and develop assistive AI technology for interactive, 3D workflows.\nUse the technology you build to propel human ability to communicate with interactive 3D.\nReduce the time it takes for someone to have an idea, visualize it, and share it with others.\nBuild and operate MCP servers at scale.\n\nResponsibilities\nBuild agentic AI pipelines that extract intent, entities, and semantic structure from user input.\nAnalyze opportunities for improving the AI system's performance and personalization.\nIntegrate cloud and client LLMs to drive creative workflows.\nDesign and maintain knowledge graphs to represent world, character, and story data.\nPrototype and apply AI features in collaboration with product and engineering teams.\nFine-tune or augment foundation models for domain-specific tasks.\nKey Competencies\nEvidence of exceptional ability in software development .\nUnderstanding of ML principles, algorithms, and evaluation metrics.\nStrong experience with modern agentic AI frameworks.\nExperience with data storage and retrieval with vector databases.\nExperience with graph databases (e.g., Neo4j, RDF, property graphs).\nExperience developing and operating agentic backend experiences, tools, optimizations.\nProficient in Python and ML libraries (e.g., PyTorch, TensorFlow).\nAbility to ship features end-to-end.\nIdeal Candidate Has:\nExperience building AI copilots.\nExperience building recommendation systems.\nCloud ops, containerization, IaC and multi-tenant experience.\nBackground in computational linguistics or knowledge representation.\nBenefits\nWe are a remote-first company with a small concentration in the Bay Area.\nHealth insurance for you and your dependants\n401(k) plan\nFlexible PTO","datePosted":"2026-08-15T13:40:02.142Z","dateModified":"2026-08-15T13:40:02.142Z","hiringOrganization":{"@type":"Organization","name":"Intangible","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"287df3af84f0bb1973c444d9"},"url":"https://jobsearcher.com/jobs/287df3af84f0bb1973c444d9"}}