LotusFlare is a provider of cloud-native SaaS products based in the heart of Silicon Valley. Founded by the team that helped Facebook reach over one billion users, LotusFlare was founded to make affordable mobile communications available to everyone on Earth.

Today, LotusFlare focuses on designing, building, and continuously evolving a digital commerce and monetization platform that delivers valuable outcomes for enterprises. Our platform, Digital Network Operator® (DNO™) Cloud, is licensed to telecommunications services providers and supports millions of customers globally.

LotusFlare has also designed and built the leading eSIM travel product - Nomad. Nomad provides global travelers with high-speed, affordable data connectivity in over 190 countries. Nomad is available as an iOS or Android app or via getnomad.app.

Position Overview

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.

Compensation and Academic Credit

• This is a paid co-op position with an annual salary.
• Depending on the collaboration and approval of your university, this placement may also be eligible for university credit.
• In addition to competitive pay, students will receive:
  • Free lunch provided every day in the office
  • Health and dental benefits
  • Fitness membership discounts
  • Training sessions and workshops for professional growth

Work Location

This is a hybrid role based at our Toronto office. Students will be required to work in-office on Mondays, Wednesdays, and Fridays.
Key Responsibilities

• 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.

Requirements

• 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.

Preferred Qualifications (Nice to Have)

• Experience with AI frameworks (PyTorch, DoWhy, EconML) and cloud technologies.
• Familiarity with Bayesian causal networks, probabilistic graphical models, causal discovery and inference methods.
• Familiarity with scalable, high-performance software design.
• Experience with data pipelines, APIs, or third-party integrations.
• Prior student projects, internships, or research demonstrating ability to deliver high-quality results on time.

About us:
At LotusFlare, we attract and keep amazing people by offering two key things:

• Purposeful Work: Every team member sees how their efforts make a tangible, positive difference for our customers and partners.
• Growth Opportunities: We provide the chance to develop professionally while mastering cutting-edge practices in cloud-native enterprise software.

From the beginning, our mission has been to simplify technology to create better experiences for customers. Using an “experience down” approach, which prioritizes the customer's journey at every stage of development, our Digital Network Operator™ Cloud empowers communication service providers to achieve valuable business outcomes. DNO Cloud enables communication service providers to innovate freely, reduce operational costs, monetize network assets, engage customers on all digital channels, drive customer acquisition, and increase retention.

With headquarters in Santa Clara, California, and five major offices worldwide, LotusFlare serves Deutsche Telekom, T-Mobile, A1, Globe Telecom, Liberty Latin America, Singtel, and other leading enterprises around the world.

• Website: www.lotusflare.com
• LinkedIn: https://www.linkedin.com/company/lotusflare
• Instagram: https://www.instagram.com/lifeatlotusflare/
• Twitter: https://twitter.com/lotus_flare

If you require disability related accommodation to participate in the recruitment process, please advise the Human Resources Department as soon as possible. Accommodation may be provided in all steps of the hiring process.