{"schemaVersion":"jobsearcher.job.v1","id":"64f5a4f366450f43847d47fb","url":"https://jobsearcher.com/jobs/64f5a4f366450f43847d47fb","canonicalUrl":"https://jobsearcher.com/jobs/64f5a4f366450f43847d47fb","title":"Machine Learning Engineer Intern (Summer 2026)","description":"Pulse Machine Learning Engineer InternPulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. Our breakthrough architecture combines schema mapping with fine-tuned extraction models where legacy OCR and parsing consistently fail.\r\nWe're a small, fast-growing team in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We're backed by tier-1 investors and scaling quickly.\r\nAbout the InternshipAs a Machine Learning Engineer Intern, you'll work directly with our founding engineers on core ML challenges at the intersection of computer vision, NLP, and data infrastructure. This internship is designed for second- or third-year undergraduate students eager to gain hands-on experience in production-scale AI systems.\r\nResponsibilitiesTrain and fine-tune OCR, layout, table, and vision-language models\r\nContribute to evaluation, data curation, and active learning pipelines\r\nOptimize inference, batching, and quantization on GPU\r\nCollaborate with engineers to productionize models with reliability in mind\r\nDocument findings that inform the model roadmap\r\nRequirementsCurrently an undergraduate student in Computer Science, Engineering, or a related field\r\nStrong experience with Python and PyTorch or JAX\r\nFamiliarity with modern vision or multimodal architectures\r\nSolid programming skills and interest in production systems\r\nNice to Have\r\nExperience with distributed training or model optimization (Triton, TensorRT, ONNX)\r\nOpen source contributions in ML/NLP/CV\r\nCompensation$40$70 per hour (depending on experience)\r\nDaily meal stipend, office perks, and close mentorship from the founding team","company":"Pulse","rawCompany":"pulse","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:32:20.720Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer Intern (Summer 2026)","description":"Pulse Machine Learning Engineer InternPulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. Our breakthrough architecture combines schema mapping with fine-tuned extraction models where legacy OCR and parsing consistently fail.\r\nWe're a small, fast-growing team in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We're backed by tier-1 investors and scaling quickly.\r\nAbout the InternshipAs a Machine Learning Engineer Intern, you'll work directly with our founding engineers on core ML challenges at the intersection of computer vision, NLP, and data infrastructure. This internship is designed for second- or third-year undergraduate students eager to gain hands-on experience in production-scale AI systems.\r\nResponsibilitiesTrain and fine-tune OCR, layout, table, and vision-language models\r\nContribute to evaluation, data curation, and active learning pipelines\r\nOptimize inference, batching, and quantization on GPU\r\nCollaborate with engineers to productionize models with reliability in mind\r\nDocument findings that inform the model roadmap\r\nRequirementsCurrently an undergraduate student in Computer Science, Engineering, or a related field\r\nStrong experience with Python and PyTorch or JAX\r\nFamiliarity with modern vision or multimodal architectures\r\nSolid programming skills and interest in production systems\r\nNice to Have\r\nExperience with distributed training or model optimization (Triton, TensorRT, ONNX)\r\nOpen source contributions in ML/NLP/CV\r\nCompensation$40$70 per hour (depending on experience)\r\nDaily meal stipend, office perks, and close mentorship from the founding team","datePosted":"2026-04-09T08:32:20.720Z","dateModified":"2026-04-09T08:32:20.720Z","hiringOrganization":{"@type":"Organization","name":"Pulse","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"64f5a4f366450f43847d47fb"},"url":"https://jobsearcher.com/jobs/64f5a4f366450f43847d47fb"}}