AI/Machine Learning Engineering Intern, DataVisor
MS/Ph.D. New Grad
Comp Range: $25 - $70/hour
Office located in Mountain View, CA
Fraud & AML detection platform
Open for applications
Fraud & AML detection platform
101-200 employees
Open for applications
Comp Range: $25 - $70/hour
Office located in Mountain View, CA
101-200 employees
Company mission
To build and restore trust online.
Role
Who you are
- This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production
- 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)
Desirable
- 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)
What the job involves
- We 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
- 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
- This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs)
- 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
- 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
Our take
As use of the internet rises, so too does the opportunity for fraud - with criminals exploiting the gaps that come with novel digital environments. DataVisor provides a fraud detection solution that leverages machine learning to identify threats. This helps to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.
Traditional fraud solutions were not designed to handle digital data, and are ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify patterns which suggest fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen.
Another problem has been that, in the name of security, systems might delay good customers from accessing services. With DataVisor, however, this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.
DataVisor has seen considerable investment that has fuelled its continued expansion. It also boasts an impressive list of customers and partnerships. For example, a partnership with Equifax allowed it to extend it analytics and fraud detection capabilities. It has also launched the industry’s first unified, AI-powered SAR filing solution.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2022
$40m
LATE VC
Feb 2018
$40m
SERIES C
Total funding: $94.5m
Company benefits
- Stock Options
- Commuter Passes
- Paid Time Off
- Catered Lunch and Dinner
- Team and Company Outings
Company HQ
Mountain View, CA
Leadership
Yinglian Xie
(CEO & Co-founder)Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.
Fang Yu
(CPO & Co-founder)Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.
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