Product & AI Intern 4 months - Winter 2027

Dayforce; Toronto; Remote; CAD 17,000 - 23,000; Full time

Benefits offered by this job

Global collaboration

Autonomy

Real‑world experience

Hands-on exposure to teams

Job summary

Dayforce is seeking a technical AI Product Intern to support GenAI and AI Agent initiatives. You will work with the AI product team to develop prototypes, improve model performance, and evaluate multilingual outputs.

This Winter 2027 four-month internship offers hands-on experience across Dayforce with exposure to product analytics in Pendo and Databricks, plus content work in Confluence.

Qualifications

• Experience with ML/GenAI or LLM applications preferred.
• Proficiency in Python and SQL.
• Strong written and verbal communication skills.

Responsibilities

• Build working demos in live code to illustrate product opportunities.
• Create annotated datasets to improve LLM-based systems.
• Assist with multilingual model output evaluation.
• Develop product analytics in Pendo and Databricks to inform roadmap.
• Craft documentation for stakeholders (Confluence).
• Support development workflows and experimentation infra.

Skills

GenAI/LLM

Python

SQL

Communication

Multilingual NLP

Education

Computer Science or Engineering student

Tools

Databricks

Pendo

Visual Studio

Job description

Job Title: Product & AI Intern

Location: Virtual

Duration: Winter 2027 – 4 months (January 2027 – April 2027)

Availability: *Full-time availability of 37.5 – 40 hours weekly is required to be eligible for this opportunity.

Benefits for Students:

• Experience working for one of the fastest growing Human Capital Management technology companies in the world Access to Dayforce’s development programs and resources
• Ability to work with as well as create relationships with members across the globe
• Autonomy to bring forth new ideas and optimize existing structures within the organization
• Meaningful responsibilities, enabling you to obtain ‘real-world’ experience
• Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce

About the opportunity:

We are seeking a technical AI Product Intern to support our GenAI and AI Agent product initiatives. In this role, you will work directly with the AI product team to develop prototypes that spark future product innovation, as well as help improve model performance, evaluate multilingual model output quality. Furthermore, you will have the opportunity to help us evolve our product analytics capabilities in Pendo, and craft meaningful content in Confluence. This internship is ideal for a Computer Science or Engineering student with a passion for machine learning, AI, experimentation, and turning messy problems into working solutions.

What you’ll get to do:

• Build working demos in live code to communicate product opportunities
• Create annotated datasets to improve our LLM-based systems
• Assist with hands‑on evaluation of multilingual model output
• Develop and refine product analytics in Pendo and analyze product usage data in Pendo and Databricks to generate insights that inform our roadmap
• Craft and refine meaningful content and documentation (e.g. Confluence) for broad stakeholder communications
• Support our teams’ development workflows and experimentation infrastructure

Skills and experience we value:

• Proven experience with machine learning, preferably GenAI or LLM applications
• Experience with programming languages: Python and SQL, etc.
• Comfort with tools such as (or similar to): Databricks, Pendo, Visual Studio, etc.
• Entrepreneurial mindset: works with minimal guidance and solves their own problems
• Ability to translate ambiguous tasks into clear outputs
• Strong communication skills and curiosity about how product and ML intersect

What would really make you stand out:

• Front-end experience (React, Streamlit, etc.) for prototyping
• Familiarity with multilingual NLP or localization tools
• This internship is a chance to work on frontier tech with real-world applications and visibility. You’ll get to experiment, deliver, and influence the future of AI at Dayforce.