Product & AI Intern- Fall 2025 4 or 8 months
Toronto, ON, CA
Internship Entry-level / Junior CAD 56K - 64K
Dayforce, a global leader in Human Capital Management (HCM) with headquarters in Toronto, Ontario, and Minneapolis, Minnesota, operates across North America, EMEA, and APJ regions. Our Cloud HCM platform, recognized for its unified database and continuous calculation engine, enhances efficiency, productivity, and compliance for global workforces. We are committed to "Making Work Life Better™" for employees, customers, and partners worldwide.
As an Intern at Dayforce, you’ll gain real-world experience with meaningful responsibilities, access to development programs, and the chance to collaborate globally, bringing new ideas and optimizing processes across multiple business units.
Job Title: Product & AI Intern
Location: Virtual
Duration: Fall 2025 – 4, 8 months
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.
What’s in it for you
Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.
We encourage individuals to apply based on their passions.
Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.
With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.
Fraudulent Recruiting
Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com or @Ceridian.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud
#LI-Intern
#LI-Remote
As an Intern at Dayforce, you’ll gain real-world experience with meaningful responsibilities, access to development programs, and the chance to collaborate globally, bringing new ideas and optimizing processes across multiple business units.
Job Title: Product & AI Intern
Location: Virtual
Duration: Fall 2025 – 4, 8 months
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.
What’s in it for you
Dayforce is fueled by the diversity of our talented employees. We are an equal opportunity employer and consider and embrace ALL individuals and what makes them unique. We believe our employees should be happy and healthy, with peace of mind and a sense of fulfillment.
We encourage individuals to apply based on their passions.
Dayforce encourages personal and professional growth. We offer excellent time away from work programs, comprehensive wellness initiatives and recognition through competitive pay and benefits.
With a commitment to community impact, including volunteer days and our charity, Dayforce Cares we provide opportunities for you to thrive both in your career and personal life. Our focus is not just on your job but on supporting you to be the best version of yourself.
Fraudulent Recruiting
Beware of fraudulent recruiting. Legitimate Dayforce contacts will use an @dayforce.com or @Ceridian.com email address. We do not request money, checks, equipment orders, or sensitive personal data during the recruitment process. If you have been asked for any of the above, or believe you have been contacted by someone posing as a Dayforce employee, please refer to our fraudulent recruiting statement found here: https://www.dayforce.com/be-aware-of-recruiting-fraud
#LI-Intern
#LI-Remote
Job stats:
3
1
0
Categories:
Deep Learning Jobs
Product Jobs
Tags: Computer Science Confluence Databricks Engineering Generative AI LLMs Machine Learning NLP Prototyping Python React Spark SQL Streamlit
Perks/benefits: Career development Competitive pay Team events Wellness
Regions:
Remote/Anywhere
North America
Country:
Canada
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
BI Developer jobsData Engineer II jobsStaff Data Scientist jobsSr. Data Engineer jobsPrincipal Data Engineer jobsBusiness Intelligence Analyst jobsPrincipal Software Engineer jobsStaff Machine Learning Engineer jobsData Science Manager jobsData Manager jobsData Science Intern jobsSoftware Engineer II jobsDevOps Engineer jobsJunior Data Analyst jobsData Analyst Intern jobsData Specialist jobsBusiness Data Analyst jobsSr. Data Scientist jobsLead Data Analyst jobsStaff Software Engineer jobsAI/ML Engineer jobsSenior Backend Engineer jobsResearch Scientist jobsData Engineer III jobsBI Analyst jobs
NLP jobsAirflow jobsOpen Source jobsTerraform jobsKPIs jobsLinux jobsEconomics jobsMLOps jobsKafka jobsNoSQL jobsJavaScript jobsComputer Vision jobsData Warehousing jobsGoogle Cloud jobsPostgreSQL jobsRDBMS jobsPhysics jobsGitHub jobsScikit-learn jobsBanking jobsHadoop jobsStreaming jobsScala jobsData warehouse jobsPandas jobs
R&D jobsdbt jobsBigQuery jobsOracle jobsClassification jobsLooker jobsCX jobsReact jobsScrum jobsDistributed Systems jobsPySpark jobsRAG jobsRedshift jobsJira jobsELT jobsPrompt engineering jobsMicroservices jobsRobotics jobsIndustrial jobsGPT jobsSAS jobsNumPy jobsTypeScript jobsMySQL jobsData Mining jobs