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Added 2 hours ago
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Added 5 hours ago
Water Quality Co-op Student
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Genesys
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Develop and maintain automated tests that improve software quality, expand test coverage, and increase confidence in production releases.
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Software Developer in Test, Intern (WEM)
Genesys
Toronto, ON
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Design and implement AI-enhanced automated tests for user interfaces and backend microservices that improve test coverage and release confidence
Added 2 days ago
Software Developer Intern, Predictions Data & Decision Science
Genesys
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Work with experienced engineers and researchers to design, develop, and test solutions to complex workforce management problems.
Added 2 days ago
Software Developer in Test, Intern (Agent Development)
Genesys
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Added 3 days ago
Test Automation & Software Developer Co-op (Winter Term - January - April 2027)
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Stage coopératif - Hiver 2027: Analyste en assurance qualité (8 mois)
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Structural Geology Co-Op
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Test Automation Co-op - XPression (Winter/Spring Term - January 2027 - August 2027)
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Software Developer QA I (Co-op) - Canada
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Test/Lab Engineer
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Added 5 days ago
Software Developer QA I (Co-op) - Canada
Cisco
Ottawa, ON · Kanata, ON
Full-time
Cisco Networking (CPO) builds the foundational platforms, security solutions, and test automation infrastructure that ensure our enterprise products meet the highest quality and performance…
Added 5 days ago
Software Developer QA I (Co-op) - Canada
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Cisco Networking (CPO) builds the foundational platforms, security solutions, and test automation infrastructure that ensure our enterprise products meet the highest quality and performance…

Genesys

Software Developer Intern, Predictions Data & Decision Science

Toronto, ON, Canada

Job type: Full-time
Posting language: English
Posted: Sep 22, 2026

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Original job description

Be the one building AI-powered experiences where they matter most

At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.

Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

Internship Details: This internship/co-op opportunity is based in Toronto, Ontario and follows a hybrid work model. Candidates should be able to work from our downtown Toronto office 1–2 days per week, depending on team and business needs.

We are considering students available for internship/co-op terms ranging from 8 to 16 months beginning in May/June 2027

Role Overview:

As a Software Developer Intern on the Genesys Cloud Predictions Data & Decision team, you will work with a highly collaborative and diverse team of software engineers, data engineers, and operations research engineers to build intelligent solutions for our workforce management products.

Our team tackles complex, real-world problems involving forecasting, resource planning, optimization, and intelligent decision-making. You will have the opportunity to work across the full lifecycle of a problem - from understanding the problem and exploring data, to designing algorithms, building software, running experiments, and evaluating results.

We are especially interested in people who are intellectually curious, enjoy solving ambiguous problems, and are excited about the intersection of software engineering, data, optimization, and AI.

You don't need to be an expert in Operations Research or AI. We are looking for strong problem solvers who are excited to learn and apply new techniques to challenging problems.

What You'll Do

Work with experienced engineers and researchers to design, develop, and test solutions to complex workforce management problems.
Explore and learn how different components of WFM work together, including forecasting, scheduling, and prediction systems.
Use data, mathematical modeling, algorithms, and experimentation to understand problems and evaluate potential solutions.
Develop software and prototypes that turn ideas and research into scalable, production-ready solutions.
Experiment with AI and machine learning techniques, including exploring how modern AI capabilities can improve workforce planning and decision-making.
Analyze experimental results and use quantitative and qualitative evidence to guide engineering and product decisions.
Write maintainable code and automated tests, and participate in collaborative code reviews.
Work with team members across Software Engineering, Data Engineering, Operations Research, and Product to solve customer problems.
Learn and contribute within a modern cloud-based, distributed software environment.
Communicate your ideas, findings, and trade-offs clearly to both technical and non-technical audiences.

Required Qualifications

Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, Operations Research, or a related technical discipline.
Strong problem-solving and analytical skills.
Comfortable with fundamental concepts in mathematics, statistics, or data analysis.
Experience programming in at least one language such as Python, Java, C++, C#, or a similar language.
Curiosity about how things work and an ability to learn new technologies and concepts quickly.
Ability to work collaboratively and communicate effectively with others.

Preferred Qualifications

Experience with algorithms, data structures, mathematical modeling, optimization, statistics, or machine learning.
Experience working with AI/ML technologies or large language models.
Experience conducting experiments, analyzing data, or comparing different approaches to a problem.
Familiarity with cloud technologies such as AWS or similar platforms.
Experience with software development practices such as Git, CI/CD, automated testing, or Agile development.
Exposure to building scalable or distributed software systems.
Experience with optimization libraries, numerical computing, or scientific programming is a plus.

Why Join Us?

As an intern on the team, you'll get the opportunity to:

Work on real problems that impact how businesses manage their workforce.
Learn from experienced software engineers, data engineers, and operations researchers.
Gain hands-on experience taking ideas from research and experimentation into production software.
Explore the intersection of software engineering, optimization, data, and AI.
Develop both your technical and problem-solving skills in a collaborative engineering environment.
Work on systems that operate at significant scale and serve customers around the world.

And, of course, have fun building great software with us.

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.

$ -

Working at Genesys

AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

Our Talent Acquisition team reviews your application with the hiring team.

A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.

Next, you'll meet the hiring manager and other members of the interview team.

We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.

Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.

This is an active opening at Genesys. We use Artificial Intelligence to support the hiring process, but every application is reviewed by our Talent Acquisition team, looking beyond keywords to focus on your experience and potential.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation - such as application follow-ups or resume submissions - may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

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More about this job

Responsibilities

You will design, develop, and test intelligent solutions for workforce management products using data, mathematical modeling, and AI techniques. You will also collaborate with cross-functional teams to turn research and prototypes into scalable, production-ready software.

Requirements

Candidates must be currently pursuing a Bachelor's or Master's degree in a technical discipline such as Computer Science, Mathematics, or Engineering. Strong problem-solving skills and experience with at least one programming language like Python, Java, or C++ are required.

Skills

Python
Java
C++
C#
Data analysis
Mathematical modeling
Algorithms
Machine learning
Statistics
Cloud technologies
AWS
Git
CI/CD
Agile development
Software engineering
Optimization

Benefits

Paid volunteer time
Well-being resources
Mentorship programs
Learning and development programs
Education support

Visa sponsorship

Not detected in the job text

Keywords

Software Developer
Artificial Intelligence
Machine Learning
Workforce Management
Data Engineering
Operations Research
Cloud Computing
AWS
Python
Java
C++
C#
Algorithms
Data Structures
Mathematical Modeling
Optimization
Statistics
Git
CI/CD
Agile
Distributed Systems
Scalable Software
Predictive Analytics
Forecasting
Scheduling
Software Engineering
Data Science
Decision Science
Enterprise Software
Product Development

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