Our company helps to connect residents in buildings and neighbourhoods through a user interface. We would like to work with students to create a new recommendation system that returns connections based on a user's profile and general interaction data.

This will involve several different steps, including:

• Analyzing our existing dataset of users, products, and reviews.
• Working with other algorithm engineers to develop a recommendation system.
• Accounting for additional variables in the recommendation engine software.
• Testing the developed software and making improvements based on additional data.

• Designing, building, testing, and delivering algorithms to recommend like-minded users, recommended gatherings and recommended services to individual Minivillage members
• Potentially creating other algorithms for members on different tiered levels, with different complexities
• Learning the basics of https://bubble.io/ and and researching the best method for integrating a dynamic algorithm into the Minivillage platform, considering any of Bubble’s constraints
• Applying efficient coding skills to deliver the algorithm(s) and packaging them into an API that is compatible with Bubble
• Working closely and communicate with the Product Team giving regular progress updates

The successful candidate will be:

• supervised by a member of the Minivillage product team with regular video or coffee check ins
• invited to team Town Halls and Sprints for brainstorming and strategic meetings
• given access to team collaboration tools (Google Workspace) and relevant software tools