{"schemaVersion":"jobsearcher.job.v1","id":"de5d7d252e7ed42cab1ebdcb","url":"https://jobsearcher.com/jobs/de5d7d252e7ed42cab1ebdcb","canonicalUrl":"https://jobsearcher.com/jobs/de5d7d252e7ed42cab1ebdcb","title":"Machine Learning Engineer","description":"About the jobSonilo is a VC-backed AI music generation company building the next generation of soundtrack creation for video. Founded in Silicon Valley, Sonilo helps creators, brands, and platforms instantly generate original music that understands a video's content, pacing, and exact duration — eliminating the need for manual editing, stock music searching, or beat matching. From short-form social content to cinematic storytelling, Sonilo enables anyone to turn silent videos into finished content in seconds through AI-powered music generation built for modern creators.Role DescriptionAs a Machine Learning Engineer, you will combine hands-on engineering with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting-edge large language models (LLMs) and diffusion models.What You'll DoDevelop next-generation AI systems for video-to-music generation and multimodal creative workflowsBuild and optimize AI-native product experiences that understand video content, pacing, emotion, and timing to generate high-quality music experiencesDesign scalable model architectures and inference pipelines for multimodal generationWork closely with product, design, and infrastructure teams to bring cutting-edge generative AI capabilities into productionWhat You Need To SucceedMaster's or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related fieldDemonstrated experience in generative AI, multimodal systems, LLMs, diffusion models, music/audio generation, or AI agent developmentExperience building scalable AI systems, model inference pipelines, or real-time AI applicationsStrong foundation in machine learning, software engineering, data structures, and algorithmsExcellent problem-solving and analytical skills, with a proactive and ownership-driven mindsetAbility to move quickly and adapt in a fast-paced startup environment where priorities may evolve rapidly and ambiguity is common","company":"Sonilo","rawCompany":"sonilo","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-28T00:13:55.138Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"About the jobSonilo is a VC-backed AI music generation company building the next generation of soundtrack creation for video. Founded in Silicon Valley, Sonilo helps creators, brands, and platforms instantly generate original music that understands a video's content, pacing, and exact duration — eliminating the need for manual editing, stock music searching, or beat matching. From short-form social content to cinematic storytelling, Sonilo enables anyone to turn silent videos into finished content in seconds through AI-powered music generation built for modern creators.Role DescriptionAs a Machine Learning Engineer, you will combine hands-on engineering with architectural leadership to design and implement reasoning systems, tool orchestration, and multimodal integrations using cutting-edge large language models (LLMs) and diffusion models.What You'll DoDevelop next-generation AI systems for video-to-music generation and multimodal creative workflowsBuild and optimize AI-native product experiences that understand video content, pacing, emotion, and timing to generate high-quality music experiencesDesign scalable model architectures and inference pipelines for multimodal generationWork closely with product, design, and infrastructure teams to bring cutting-edge generative AI capabilities into productionWhat You Need To SucceedMaster's or PhD degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related fieldDemonstrated experience in generative AI, multimodal systems, LLMs, diffusion models, music/audio generation, or AI agent developmentExperience building scalable AI systems, model inference pipelines, or real-time AI applicationsStrong foundation in machine learning, software engineering, data structures, and algorithmsExcellent problem-solving and analytical skills, with a proactive and ownership-driven mindsetAbility to move quickly and adapt in a fast-paced startup environment where priorities may evolve rapidly and ambiguity is common","datePosted":"2026-05-28T00:13:55.138Z","dateModified":"2026-05-28T00:13:55.138Z","hiringOrganization":{"@type":"Organization","name":"Sonilo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"de5d7d252e7ed42cab1ebdcb"},"url":"https://jobsearcher.com/jobs/de5d7d252e7ed42cab1ebdcb"}}