Software Developer Intern, Predictions Data & Decision Science at Genesys in Toronto (Flexible)

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.
• 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.

Responsibilities

• 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.

Requirements

• 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.
• 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.

Skills

Required

• Intellectually curious
• Enjoy solving ambiguous problems
• Python
• Java
• C++
• C#
• Algorithms
• Data structures
• Mathematical modeling
• Optimization
• Statistics
• Machine learning

Benefits

• 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.
• 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.
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