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We’re seeking a skilled Senior Data Engineer with experience in recommendation systems to join our team. This role is pivotal in enhancing our backend systems, managing databases, and optimizing recommendation algorithms. You’ll play a critical role in the architecture and performance of our recommendation infrastructure, ensuring accurate, relevant, and efficient recommendations for our users.
About Luupli: Luupli is a social media app that has equity, diversity, and equality at its heart. We believe that social media can be a force for good, and we are committed to creating a platform that maximise the value that creators and businesses can gain from it, while making a positive impact on society and the planet. Luupli started internal testing since June 2024 and getting ready for a commercial BETA testing from December 2024, with the hope of launching fully summer of 2025.Our team is made up of passionate and dedicated individuals who are committed to making Luupli a success.
We’re seeking a skilled Senior Data Engineer with experience in recommendation systems to join our team. This role is pivotal in enhancing our backend systems, managing databases, and optimizing recommendation algorithms. You’ll play a critical role in the architecture and performance of our recommendation infrastructure, ensuring accurate, relevant, and efficient recommendations for our users.
Design, optimize, and maintain tables and data structures to support recommendation and trending content data.
Work with structured data storage solutions, including PostgreSQL and JSONB, to manage recommendation and interaction data.
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Implement and refine recommendation algorithms (e.g., collaborative filtering, content-based, and hybrid approaches) to enhance relevancy.
Use similarity search libraries like Annoy or Faiss to optimize recommendation speed and accuracy.
Continuously evaluate recommendation logic to better serve user preferences, ensuring real-time delivery.
Aggregate, analyze, and process user interaction data to support recommendations and trending content.
Design efficient queries and implement aggregation methods to capture relevant data and insights for recommendations.
Identify, troubleshoot, and resolve data handling issues to ensure accurate recommendation delivery.
Optimise queries, processing workflows, and containerised services for high performance and scalability within AWS ECS.
Social networking platform for digital content creators.
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