{"schemaVersion":"jobsearcher.job.v1","id":"9de2bc3079b633f6994d85b4","url":"https://jobsearcher.com/jobs/9de2bc3079b633f6994d85b4","canonicalUrl":"https://jobsearcher.com/jobs/9de2bc3079b633f6994d85b4","title":"Intern - ML Data Engineer","description":"Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World's Most Innovative Companies, Plus's open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.\r\nAs the ML Data Engineer intern, you will work with our ML Data Infra team to implement a peer-to-peer Distributed Data Orchestration layer to serve as the cache layer for the ML platform.\r\nResponsibilities\r\nHelp implement peer-to-peer distributed cache for ML training/Inference.\r\nHelp benchmark the cache solution.\r\nWork with multiple teams to help define and build various backend services and development tools.\r\nRequired Skills\r\nMS or PhD student in Computer Science or equivalent field.\r\nSolid understanding of fundamental CS algorithms and data structures.\r\nExperience writing and maintaining Python code on and for Linux OS.\r\nKnowledge and experience about distributed storage is great to have, but not required.\r\nSalary Range\r\n$19 - $65 an hour\r\nOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.\r\nYour opportunities joining Plus\r\nWork, learn and grow in a highly future-oriented, innovative and dynamic field.\r\nWide range of opportunities for personal and professional development.\r\nCatered free lunch, unlimited snacks and beverages.\r\nHighly competitive salary and benefits package, including 401(k) plan.\r\nJ-18808-Ljbffr","company":"Plusai","rawCompany":"plusai","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:46:37.735Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Intern - ML Data Engineer","description":"Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World's Most Innovative Companies, Plus's open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.\r\nAs the ML Data Engineer intern, you will work with our ML Data Infra team to implement a peer-to-peer Distributed Data Orchestration layer to serve as the cache layer for the ML platform.\r\nResponsibilities\r\nHelp implement peer-to-peer distributed cache for ML training/Inference.\r\nHelp benchmark the cache solution.\r\nWork with multiple teams to help define and build various backend services and development tools.\r\nRequired Skills\r\nMS or PhD student in Computer Science or equivalent field.\r\nSolid understanding of fundamental CS algorithms and data structures.\r\nExperience writing and maintaining Python code on and for Linux OS.\r\nKnowledge and experience about distributed storage is great to have, but not required.\r\nSalary Range\r\n$19 - $65 an hour\r\nOur internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.\r\nYour opportunities joining Plus\r\nWork, learn and grow in a highly future-oriented, innovative and dynamic field.\r\nWide range of opportunities for personal and professional development.\r\nCatered free lunch, unlimited snacks and beverages.\r\nHighly competitive salary and benefits package, including 401(k) plan.\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:46:37.735Z","dateModified":"2026-07-04T02:46:37.735Z","hiringOrganization":{"@type":"Organization","name":"Plusai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9de2bc3079b633f6994d85b4"},"url":"https://jobsearcher.com/jobs/9de2bc3079b633f6994d85b4"}}