AI/Machine Learning Engineering Intern (MS/Ph.D. New Grad)
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. The AI/Machine Learning Engineering Intern will assist experienced engineers and data scientists in building the Intelligence Layer and Data Consortium for real-time fraud detection, focusing on distributed systems, data pipelines, and machine learning infrastructure. Responsibilities Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems Learn to design and optimize backend systems that support large-scale, real-time decisioning Contribute to improving system performance, reliability, and latency under high transaction volumes Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation Help deploy and monitor pipelines for unsupervised and supervised ML models Assist with integrating models into real-time scoring APIs and decision engines Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features Skills Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field Passionate about learning how real-world AI systems are built at scale Comfortable working with complex technical problems and eager to grow through mentorship Strong programming skills in Python Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus Understanding of core ML concepts (supervised / unsupervised learning) Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases Cloud platforms (AWS) and containers (Docker) Stream processing or real-time systems Interest in fraud, risk, or security domains (not required) Benefits Hands-on experience working on production-scale AI systems Mentorship from senior engineers and data scientists Exposure to cutting-edge agentic AI and LLM applications Opportunity for full-time conversion based on performance and business needs Company Overview DataVisor is a fraud detection company powered by transformational AI technology. It was founded in 2013, and is headquartered in Mountain View, California, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship DataVisor has a track record of offering H1B sponsorships, with 8 in 2025, 6 in 2024, 4 in 2023, 8 in 2022, 8 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.