{"schemaVersion":"jobsearcher.job.v1","id":"fc32ded09a87203b7d84b024","url":"https://jobsearcher.com/jobs/fc32ded09a87203b7d84b024","canonicalUrl":"https://jobsearcher.com/jobs/fc32ded09a87203b7d84b024","title":"AI/Machine Learning Engineering Intern (MS/Ph.D. New Grad)","description":"About DataVisor\r\nDataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.\r\nOur award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!\r\nRole Summary\r\nWe are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns.\r\nThis internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform.\r\nThis internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs).\r\nWhat You'll Do\r\nData Engineering & Pipelines\r\nAssist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink\r\nHelp process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems\r\nDistributed Systems & Scalability\r\nLearn to design and optimize backend systems that support large-scale, real-time decisioning\r\nContribute to improving system performance, reliability, and latency under high transaction volumes\r\nAI Applications & Agentic Flows\r\nSupport the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google)\r\nExperiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation\r\nMachine Learning Pipelines\r\nHelp deploy and monitor pipelines for unsupervised and supervised ML models\r\nAssist with integrating models into real-time scoring APIs and decision engines\r\nPrivacy & Security\r\nLearn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data\r\nCross-Functional Collaboration\r\nWork alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features\r\nRecently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field\r\nPassionate about learning how real-world AI systems are built at scale\r\nComfortable working with complex technical problems and eager to grow through mentorship\r\nStrong programming skills in Python\r\nFamiliarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development\r\nAcademic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus\r\nUnderstanding of core ML concepts (supervised / unsupervised learning)\r\nPreferred (Nice-to-Have)\r\nCoursework or project experience with\r\nLLMs, RAG architectures, LangChain, or vector databases\r\nCloud platforms (AWS) and containers (Docker)\r\nStream processing or real-time systems\r\nInterest in fraud, risk, or security domains (not required)\r\nHands-on experience working on production-scale AI systems\r\nMentorship from senior engineers and data scientists\r\nExposure to cutting-edge agentic AI and LLM applications\r\nOpportunity for full-time conversion based on performance and business needs\r\nComp Range, $25 - $70/hour\r\nJ-18808-Ljbffr","company":"Datavisor","rawCompany":"datavisor","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-26T01:39:08.995Z","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":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI/Machine Learning Engineering Intern (MS/Ph.D. New Grad)","description":"About DataVisor\r\nDataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.\r\nOur award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!\r\nRole Summary\r\nWe are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns.\r\nThis internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform.\r\nThis internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs).\r\nWhat You'll Do\r\nData Engineering & Pipelines\r\nAssist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink\r\nHelp process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems\r\nDistributed Systems & Scalability\r\nLearn to design and optimize backend systems that support large-scale, real-time decisioning\r\nContribute to improving system performance, reliability, and latency under high transaction volumes\r\nAI Applications & Agentic Flows\r\nSupport the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google)\r\nExperiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation\r\nMachine Learning Pipelines\r\nHelp deploy and monitor pipelines for unsupervised and supervised ML models\r\nAssist with integrating models into real-time scoring APIs and decision engines\r\nPrivacy & Security\r\nLearn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data\r\nCross-Functional Collaboration\r\nWork alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features\r\nRecently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field\r\nPassionate about learning how real-world AI systems are built at scale\r\nComfortable working with complex technical problems and eager to grow through mentorship\r\nStrong programming skills in Python\r\nFamiliarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development\r\nAcademic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus\r\nUnderstanding of core ML concepts (supervised / unsupervised learning)\r\nPreferred (Nice-to-Have)\r\nCoursework or project experience with\r\nLLMs, RAG architectures, LangChain, or vector databases\r\nCloud platforms (AWS) and containers (Docker)\r\nStream processing or real-time systems\r\nInterest in fraud, risk, or security domains (not required)\r\nHands-on experience working on production-scale AI systems\r\nMentorship from senior engineers and data scientists\r\nExposure to cutting-edge agentic AI and LLM applications\r\nOpportunity for full-time conversion based on performance and business needs\r\nComp Range, $25 - $70/hour\r\nJ-18808-Ljbffr","datePosted":"2026-06-26T01:39:08.995Z","dateModified":"2026-06-26T01:39:08.995Z","hiringOrganization":{"@type":"Organization","name":"Datavisor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc32ded09a87203b7d84b024"},"url":"https://jobsearcher.com/jobs/fc32ded09a87203b7d84b024"}}