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TL;DR
Product Engineer Intern (AI/Data Visualization): Building and optimizing a proprietary platform for visualizing large-scale organizational data, with an accent on AI-driven engineering, scalable architecture, and high-performance UI/UX. Focus on designing graph-based data structures, multi-level caching, enterprise resource planning features, and secure systems for organizations with hundreds of thousands of employees.
Location: Hybrid in Toronto, Canada; work from the Toronto office three days per week
Salary: CAD 28–32 per hour
Company
Dayforce develops a cloud Human Capital Management platform for global workforces, with operations across North America, EMEA, and APJ.
What you will do
- Collect, analyze, and document user and business requirements for complex software and data visualization solutions.
- Design and implement data, process, and network models for large-scale organizational data processing and visualization.
- Develop cross-platform web or mobile applications using modern frameworks, including Vue and Node.
- Build graph-based data structures, multi-level caching systems, and Enterprise Resource Planning features for position, personnel, and job architecture planning.
- Test, troubleshoot, monitor, and optimize high-performance systems handling data for enterprises with hundreds of thousands of employees.
- Collaborate with engineering, data, and product teams on secure, scalable, and resilient solutions.
Requirements
- Full-time availability of 37.5–40 hours per week is required.
- Enrollment in a Bachelor's degree or higher program in Computer Science, Software Engineering, Information Technology, or a related field.
- Experience with data visualization for large or complex datasets and performance optimization of large-scale or big data systems.
- Experience with modern web development, including Vue, React, Node, Postgres, Python, and component-based UI systems.
- Proficiency in software design, architecture, testing, debugging, distributed systems, cloud environments, and backend integrations.
- Demonstrated use of AI in software development, plus knowledge of graph data structures, caching layers, and context-aware prompt engineering.
Nice to have
- Experience with data visualization performance techniques such as virtualization or occlusion culling.
- Familiarity with Tailwind CSS or similar design systems.
- Knowledge of SOC 2 Type II and ISO 27001 compliant system architecture.
Culture & Benefits
- Meaningful hands-on responsibilities across multiple business units and stakeholders.
- Access to development programs and learning resources.
- Collaboration with colleagues across global regions.
- Opportunity to propose ideas and optimize existing structures.
- Exposure to a cloud HCM platform used by large enterprise customers.
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