Posted 3 months ago
Software Engineer - Canada
@ DataVisor
Vancouver, British Columbia
Overview
DataVisor is hiring a Software Engineer in Canada on a full-time basis to build machine learning and real-time streaming systems for its fraud detection platform. The work covers designing distributed real-time systems, building large-scale ML pipelines and validating new features. The posting lists health insurance and PTO as benefits, with no schedule or pay stated.
Responsibilities:
- Design and build machine learning systems for fraud detection
- Build real-time distributed systems and features
- Build large-scale machine learning pipelines with big data technologies
- Develop systems on real-time streaming technologies
Requirements summary:
- 1-5 years software development experience
- 1-5 years in Java, Shell, Python development
- Knowledge of relational databases, SQL and ORM is a plus
- Experience with Cassandra, HBase, Flink, Spark or Kafka is a plus
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-07-27
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Software development |
| Experience | 1+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
DataVisor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The most powerful AI fraud and AML detection platform trusted by the world's largest brands.
Full company description
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium intelligence, and emerging agentic AI capabilities, DataVisor enables organizations to modernize fraud operations, improve customer experience, and stay ahead of rapidly evolving financial crime. DataVisor is trusted by leading financial institutions, payment innovators, Fortune 500 enterprises, and digital businesses worldwide.
- LinkedIn followers
- 66,918
- People associated on LinkedIn
- 164
- Reported office locations
- 967 N Shoreline Blvd, Mountain View, California 94043, US
- Business categories
- Cyber Security
- Fraud Detection
- Artificial Intelligence
- Software
- Internet
- Security
- Artificial Intelligence (AI)
- Big Data
- Machine Learning
- Other recorded names
- DataVisor
- Specialties
- Fraud Detection
- Fraud Prevention
- Artificial Intelligence
- Unsupervised Machine Learning
- Machine Learning
- AI Solutions
- Anti-Money Laundering
- Fraud Protection
- Agentic AI
- AI Fraud Detection
- and Real-time Decisioning
- Profile identifies a recruitment agency
- No
- Reported total investment
- 94,500,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention. As AI transforms both fraud attacks and fraud defense, DataVisor helps financial institutions, payment providers, and digital businesses detect, investigate, and stop sophisticated and previously unseen threats in milliseconds across billions of transactions. Combining adaptive machine intelligence, consortium…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | Mountain View, California |
| Organization type | Privately Held |
| Year founded | 2013 |
| Specialties | Fraud DetectionFraud PreventionArtificial IntelligenceUnsupervised Machine LearningMachine LearningAI SolutionsAnti-Money LaunderingFraud ProtectionAgentic AIAI Fraud Detection |
| Open jobs on Jobsy | 18 |
| View page |
DataVisor 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 solution scales infinitely and enables 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 guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the 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.
Our 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!
Summary:
As platform engineers, we are building a next-generation machine learning platform, which incorporates our secret sauce, UML (unsupervised machine learning) with other SML (supervised machine learning) algorithms. Our team works to improve our core detection algorithms and automate the full training process.
As complex fraud attacks become more prevalent, it is more important than ever to detect fraudsters in real-time. The platform team is responsible for developing the architecture that makes real-time UML possible. We are looking for creative and eager engineers to help us expand our novel streaming and database systems, which enable our detection capabilities.
We continue to push the boundary of what's possible in fraud detection and data processing at scale. Join us to help usher in more innovative solutions to the fraud detection space.
What you'll do:
- Design and build machine learning systems that process data sets from the world’s largest consumer services
- Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters
- Build and optimize systems, tools, and validation strategies to support new features
- Help design/build distributed real-time systems and features
- Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines
- Develop new systems on top of real-time streaming technologies (e.g. Kafka, Flink)
Requirements
- 1-5 years software development experience
- 1-5 years experience in Java, Shell, Python development
- Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus
- Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus.
- Experience in the Spring Framework is a plus
- Experience with test-driven development is a plus
Preferred Qualifications
- Worked on multithreaded applications i
- Experience in Shell and Python
- Experience in Kubernates
- Experience in CUDA development is a plus
Benefits
Health Insurance, PTO.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.