Co-Op Student Developer, LotusFlare

• Depending on the collaboration and approval of your university, this placement may also be eligible for university credit
• Enrolled in a 3rd or 4th year undergraduate program in Computer Science, Software Engineering, Data Science, or a related discipline
• Strong academic standing; coursework in linear algebra, probability, algorithms, and deep learning with a grade of B+ or higher preferred
• Ability to commit to a 12-month, full-time placement, including at least three in-office days per week
• Demonstrated interest in deep learning, quantitative methods, software engineering, and AI applications
• Proficiency in Python and familiarity with testing frameworks (e.g., pytest, unittest)
• Knowledge of object-oriented design and software engineering best practices
• Familiarity with lean product design and agile methodologies
• Ability to work independently on technical tasks while collaborating effectively in a team
• Strong written and verbal communication skills for documentation and technical discussions
• Adaptability and enthusiasm for working in a fast-paced, evolving environment

Desirable

• We are looking for a motivated and curious Co-Op Student Developer to join our software development team for a 12-month placement
• In this role, you will gain hands-on experience in AI, machine learning, and software engineering, while contributing directly to research-driven projects and production-grade solutions
• This position provides an opportunity to learn from experienced engineers, collaborate across disciplines, and make meaningful contributions to innovative software initiatives
• Conduct literature reviews on modern algorithms, advanced deep learning, and causal inference methods
• Learn and apply AI frameworks, libraries, and tools to support ongoing projects
• Contribute to the design, implementation, testing, and documentation of software modules
• Develop and debug code using the test-driven development (TDD) methodology, with guidance from senior engineers
• Participate in code reviews, sprint planning, and agile ceremonies to ensure quality of delivery
• Collaborate with product managers, engineers, and data scientists on cross-functional initiatives
• Build and iterate on rapid proof-of-concept prototypes to validate new ideas and technical feasibility
• Document research findings, design choices, and technical learnings
• Contribute creative ideas to enhance products and development processes